Danilo P. Mandic

Orcid: 0000-0001-8432-3963

Affiliations:
  • Imperial College London, UK


According to our database1, Danilo P. Mandic authored at least 543 papers between 1999 and 2025.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to multivariate and nonlinear learning systems".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Optimizing beamforming in quaternion signal processing using projected gradient descent algorithm.
Signal Process., 2025

2024
Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization.
Optim. Lett., December, 2024

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Matched Filtering on Directed Graphs.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024

Introduction to the Special Issue on AI-Generated Content for Multimedia.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

The Deep-Match Framework: R-Peak Detection in Ear-ECG.
IEEE Trans. Biomed. Eng., July, 2024

Augmented Statistics of Quaternion Random Variables: A lynchpin of quaternion learning machines [Hypercomplex Signal and Image Processing].
IEEE Signal Process. Mag., May, 2024

Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing].
IEEE Signal Process. Mag., May, 2024

Deployment of Artificial Intelligence Models on Edge Devices: A Tutorial Brief.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

Exploring Convolutional Neural Network Architectures for EEG Feature Extraction.
Sensors, February, 2024

Price's Theorem for Quaternion Variables.
IEEE Signal Process. Lett., 2024

Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease.
npj Digit. Medicine, 2024

Finding core labels for maximizing generalization of graph neural networks.
Neural Networks, 2024

UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization.
Neural Comput., 2024

Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection.
CoRR, 2024

RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals.
CoRR, 2024

Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models.
CoRR, 2024

CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers.
CoRR, 2024

In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders.
CoRR, 2024

Interpretable Pre-Trained Transformers for Heart Time-Series Data.
CoRR, 2024

Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning.
CoRR, 2024

Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: a systematic review.
CoRR, 2024

FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications.
CoRR, 2024

On the Dynamics of Multiagent Nonlinear Filtering and Learning.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs.
Proceedings of the International Joint Conference on Neural Networks, 2024

GPINN: Physics-Informed Neural Network with Graph Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2024

Quaternion Recurrent Neural Network with Real-Time Recurrent Learning and Maximum Correntropy Criterion.
Proceedings of the International Joint Conference on Neural Networks, 2024

Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Detecting Gamma-Band Responses to the Speech Envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2024

Segmented Error Minimisation (Semi) for Robust Training of Deep Learning Models with Non-Linear Shifts in Reference Data.
Proceedings of the IEEE International Conference on Acoustics, 2024

FinLlama: LLM-Based Financial Sentiment Analysis for Algorithmic Trading.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023
Von Mises-Fisher Elliptical Distribution.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller.
Sensors, September, 2023

Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs.
Neural Comput., August, 2023

Rapid extraction of respiratory waveforms from photoplethysmography: A deep corr-encoder approach.
Biomed. Signal Process. Control., August, 2023

Convolutional Neural Networks Demystified: A Matched Filtering Perspective-Based Tutorial.
IEEE Trans. Syst. Man Cybern. Syst., June, 2023

Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach [Lecture Notes].
IEEE Signal Process. Mag., March, 2023

An In-Ear PPG-Based Blood Glucose Monitor: A Proof-of-Concept Study.
Sensors, March, 2023

Last-iterate convergence analysis of stochastic momentum methods for neural networks.
Neurocomputing, March, 2023

A class of doubly stochastic shift operators for random graph signals and their boundedness.
Neural Networks, January, 2023

Convex Quaternion Optimization for Signal Processing: Theory and Applications.
IEEE Trans. Signal Process., 2023

In-Ear SpO₂ for Classification of Cognitive Workload.
IEEE Trans. Cogn. Dev. Syst., 2023

A Class of Online Censoring Based Quaternion-Valued Least Mean Square Algorithms.
IEEE Signal Process. Lett., 2023

Performance analysis of the augmented complex-valued least mean kurtosis algorithm.
Signal Process., 2023

Reciprocal GAN Through Characteristic Functions (RCF-GAN).
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Filtering Structures for α-Stable Systems.
IEEE Control. Syst. Lett., 2023

Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks.
CoRR, 2023

The HR-Calculus: Enabling Information Processing with Quaternion Algebra.
CoRR, 2023

Improving Diffusion Models for ECG Imputation with an Augmented Template Prior.
CoRR, 2023

On the dynamics of multi agent nonlinear filtering and learning.
CoRR, 2023

TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition.
CoRR, 2023

Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning.
CoRR, 2023

UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization.
CoRR, 2023

Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains.
CoRR, 2023

Fair and skill-diverse student group formation via constrained k-way graph partitioning.
CoRR, 2023

Weight sharing for single-channel LMS.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models.
Proceedings of the International Conference on Machine Learning, 2023

A comparative study on ML-based approaches for Main Entity Detection in Financial Reports.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Text Mining for Sentiment Analysis in Bond Portfolio Construction.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Financial News Classification Model for NLP-based Bond Portfolio Construction.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

ClassA Entropy for the Analysis of Structural Complexity of Physiological Signals.
Proceedings of the IEEE International Conference on Acoustics, 2023

Relating EEG Recordings to Speech Using Envelope Tracking and The Speech-FFR.
Proceedings of the IEEE International Conference on Acoustics, 2023

Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Hierarchical Graph Learning for Stock Market Prediction Via a Domain-Aware Graph Pooling Operator.
Proceedings of the IEEE International Conference on Acoustics, 2023

Generalization Error of a Regression Model for Non-Invasive Blood Pressure Monitoring using a Single Photoplethysmography (PPG) Signal.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Hearables: Heart Rate Variability from Ear Electrocardiogram and Ear Photoplethysmogram (Ear-ECG and Ear-PPG).
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Hearables: Automatic Sleep Scoring from Single-Channel Ear-EEG in Older Adults.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Feasibility of Transfer Learning from Finger PPG to In-Ear PPG.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Reducing racial bias in SpO2 estimation: The effects of skin pigmentation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach.
IEEE Trans. Neural Networks Learn. Syst., 2022

Wearable In-Ear PPG: Detailed Respiratory Variations Enable Classification of COPD.
IEEE Trans. Biomed. Eng., 2022

Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks].
IEEE Signal Process. Mag., 2022

A full second-order statistical analysis of strictly linear and widely linear estimators with MSE and Gaussian entropy criteria.
Signal Process., 2022

Online censoring based complex-valued adaptive filters.
Signal Process., 2022

A Pilot Study of Heart Rate Variability Synchrony as a Marker of Intraoperative Surgical Teamwork and Its Correlation to the Length of Procedure.
Sensors, 2022

Incremental deep learning for reflectivity data recognition in stomatology.
Neural Comput. Appl., 2022

Variational Embedding Multiscale Sample Entropy: A Tool for Complexity Analysis of Multichannel Systems.
Entropy, 2022

Multivariate Multiscale Cosine Similarity Entropy and Its Application to Examine Circularity Properties in Division Algebras.
Entropy, 2022

Weight sharing for LMS algorithms: Convolutional neural networks inspired multichannel adaptive filtering.
Digit. Signal Process., 2022

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech.
CoRR, 2022

Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach.
CoRR, 2022

Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling.
CoRR, 2022

Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation.
CoRR, 2022

Demystifying CNNs for Images by Matched Filters.
CoRR, 2022

Pearl: Parallel Evolutionary and Reinforcement Learning Library.
CoRR, 2022

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fractional-Order Learning Systems.
Proceedings of the International Joint Conference on Neural Networks, 2022

Hearables: Artefact removal in Ear-EEG for continuous 24/7 monitoring.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Joint Particle Filter for Quaternion-Valued $\alpha$-Stable Signals via the Characteristic Function.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Low-Complexity Attention Modelling via Graph Tensor Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multivariate Multiscale Cosine Similarity Entropy.
Proceedings of the IEEE International Conference on Acoustics, 2022

Variational Bayesian Tensor Networks with Structured Posteriors.
Proceedings of the IEEE International Conference on Acoustics, 2022

Infergrad: Improving Diffusion Models for Vocoder by Considering Inference in Training.
Proceedings of the IEEE International Conference on Acoustics, 2022

Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Graph and tensor-train recurrent neural networks for high-dimensional models of limit order books.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Tracking Cognitive Workload in Gaming with In-Ear $\text{SpO}_{2}$.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications.
AII, 2022

2021
A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals.
IEEE Trans. Signal Process., 2021

A Universal Framework for Learning the Elliptical Mixture Model.
IEEE Trans. Neural Networks Learn. Syst., 2021

Innovation Starts With Education [From the Guest Editors].
IEEE Signal Process. Mag., 2021

Improved Coherence Index-Based Bound in Compressive Sensing.
IEEE Signal Process. Lett., 2021

Online Censoring Based Weighted-Frequency Fourier Linear Combiner for Estimation of Pathological Hand Tremors.
IEEE Signal Process. Lett., 2021

A layer-wise distribution analysis of the WLMMSE-SIC MIMO receiver for rectilinear or quasi-rectilinear signals.
Signal Process., 2021

A lower bound on the tensor rank based on its maximally square matrix unfolding.
Signal Process., 2021

Convergence of the RMSProp deep learning method with penalty for nonconvex optimization.
Neural Networks, 2021

Deep neural network representation and Generative Adversarial Learning.
Neural Networks, 2021

A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals.
Inf. Fusion, 2021

HOTTBOX: Higher Order Tensor ToolBOX.
CoRR, 2021

An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data.
CoRR, 2021

Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks.
CoRR, 2021

Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach.
CoRR, 2021

Tensor Networks for Multi-Modal Non-Euclidean Data.
CoRR, 2021

Hearables: From in-ear Recording of Vital Signs and Neural Function to Doctorless Hospitals.
Proceedings of the 10th Mediterranean Conference on Embedded Computing, 2021

Bayesian autoregressive spectral estimation.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2021

Graph Theory for Metro Traffic Modelling.
Proceedings of the International Joint Conference on Neural Networks, 2021

Nonstationary Portfolios: Diversification in the Spectral Domain.
Proceedings of the IEEE International Conference on Acoustics, 2021

Kernel Learning with Tensor Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Robust PCA Through Maximum Correntropy Power Iterations.
Proceedings of the IEEE International Conference on Acoustics, 2021

Learning to classify and imitate trading agents in continuous double auction markets.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Recurrent Graph Tensor Networks: A Low-Complexity Framework for Modelling High-Dimensional Multi-Way Sequences.
Proceedings of the 29th European Signal Processing Conference, 2021

Hearables: Making Sense from Motion Artefacts in Ear-EEG for Real-Life Human Activity Classification.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Complex Properness Inspired Blind Adaptive Frequency-Dependent I/Q Imbalance Compensation for Wideband Direct-Conversion Receivers.
IEEE Trans. Wirel. Commun., 2020

Performance Analysis of Deficient Length Quaternion Least Mean Square Adaptive Filters.
IEEE Trans. Signal Process., 2020

Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm.
IEEE Trans. Signal Process., 2020

Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Analysis of Least Stochastic Entropy Adaptive Filters for Noncircular Gaussian Signals.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments.
IEEE Trans. Circuits Syst., 2020

Hearables: Automatic Overnight Sleep Monitoring With Standardized In-Ear EEG Sensor.
IEEE Trans. Biomed. Eng., 2020

Quaternion-Valued Distributed Filtering and Control.
IEEE Trans. Autom. Control., 2020

Demystifying the Coherence Index in Compressive Sensing [Lecture Notes].
IEEE Signal Process. Mag., 2020

Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals.
IEEE Signal Process. Lett., 2020

On the decomposition of multichannel nonstationary multicomponent signals.
Signal Process., 2020

In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation.
Sensors, 2020

Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition.
Neural Comput. Appl., 2020

Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications.
Found. Trends Mach. Learn., 2020

Data Analytics on Graphs Part II: Signals on Graphs.
Found. Trends Mach. Learn., 2020

Data Analytics on Graphs Part I: Graphs and Spectra on Graphs.
Found. Trends Mach. Learn., 2020

Vertex-frequency graph signal processing: A comprehensive review.
Digit. Signal Process., 2020

Multi-Graph Tensor Networks.
CoRR, 2020

Recurrent Graph Tensor Networks.
CoRR, 2020

Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models.
CoRR, 2020

Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition.
CoRR, 2020

Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications.
CoRR, 2020

Design of Improper Constellations for Optimal Data Rates in Downlink NOMA Systems.
Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

Improperness Based SINR Analysis of GFDM Systems Under Joint Tx and Rx I/Q Imbalance.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

SINR Analysis Of Mimo Systems With Widely Linear MMSE Receivers For The Reception Of Real-Valued Constellations.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Reciprocal Adversarial Learning via Characteristic Functions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Low-Dimensionality Method for Data-Driven Graph Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Portfolio Cuts: A Graph-Theoretic Framework to Diversification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Tensor Decompositions in Deep Learning.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Joint Channel Estimation and Tx/Rx I/Q Imbalance Compensation for GFDM Systems.
IEEE Trans. Wirel. Commun., 2019

Analysis of the Unconstrained Frequency-Domain Block LMS for Second-Order Noncircular Inputs.
IEEE Trans. Signal Process., 2019

Full Mean Square Performance Bounds on Quaternion Estimators for Improper Data.
IEEE Trans. Signal Process., 2019

Hypercomplex Widely Linear Estimation Through the Lens of Underpinning Geometry.
IEEE Trans. Signal Process., 2019

Reply to "Comments on 'The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes'".
IEEE Trans. Signal Process., 2019

Multiple-Model Adaptive Estimation for 3-D and 4-D Signals: A Widely Linear Quaternion Approach.
IEEE Trans. Neural Networks Learn. Syst., 2019

Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes].
IEEE Signal Process. Mag., 2019

Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum].
IEEE Signal Process. Mag., 2019

A Data Analytics Perspective of Power Grid Analysis-Part 1: The Clarke and Related Transforms [Lecture Notes].
IEEE Signal Process. Mag., 2019

Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights].
IEEE Signal Process. Mag., 2019

A Data Analytics Perspective of Power Grid Analysis-Part 2: Teaching Old Power Systems New Tricks [Lecture Notes].
IEEE Signal Process. Mag., 2019

Complementary Cost Functions for Complex and Quaternion Widely Linear Estimation.
IEEE Signal Process. Lett., 2019

Complex-Valued Nonlinear Adaptive Filters With Applications in $\alpha$-Stable Environments.
IEEE Signal Process. Lett., 2019

A class of multidimensional NIPALS algorithms for quaternion and tensor partial least squares regression.
Signal Process., 2019

A cost-effective nonlinear self-interference canceller in full-duplex direct-conversion transceivers.
Signal Process., 2019

Graph Theory and Metro Traffic Modelling.
CoRR, 2019

A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables.
CoRR, 2019

Robust Principal Component Analysis Based On Maximum Correntropy Power Iterations.
CoRR, 2019

Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs.
CoRR, 2019

Unitary Shift Operators on a Graph.
CoRR, 2019

A Unifying Analysis of Shift Operators on a Graph.
CoRR, 2019

Vertex-Frequency Graph Signal Processing.
CoRR, 2019

Graph Signal Processing - Part I: Graphs, Graph Spectra, and Spectral Clustering.
CoRR, 2019

A general solver to the elliptical mixture model through an approximate Wasserstein manifold.
CoRR, 2019

On the Decomposition of Multivariate Nonstationary Multicomponent Signals.
CoRR, 2019

An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing.
CoRR, 2019

Tucker Tensor Layer in Fully Connected Neural Networks.
CoRR, 2019

Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition.
Comput. Intell. Neurosci., 2019

Bidimensional Multivariate Empirical Mode Decomposition With Applications in Multi-Scale Image Fusion.
IEEE Access, 2019

Tensor Decompositions and Practical Applications: A Hands-on Tutorial.
Proceedings of the Recent Trends in Learning From Data, 2019

Simultaneous DFT and IDFT through Widely Linear CLMS.
Proceedings of the IEEE International Conference on Acoustics, 2019

Quaternion-Valued Adaptive Filtering via Nesterov's Extrapolation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Tracking Dynamic Systems in α-Stable Environments.
Proceedings of the IEEE International Conference on Acoustics, 2019

Smart DSP for a Smarter Power Grid: Teaching Power System Analysis through Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2019

Support Tensor Machine for Financial Forecasting.
Proceedings of the IEEE International Conference on Acoustics, 2019

Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Scalable automatic sleep staging in the era of Big Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Hearables: Feasibility and Validation of In-Ear Electrocardiogram.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Performance Analysis of Quaternion-Valued Adaptive Filters in Nonstationary Environments.
IEEE Trans. Signal Process., 2018

Augmented Performance Bounds on Strictly Linear and Widely Linear Estimators With Complex Data.
IEEE Trans. Signal Process., 2018

An Augmented Nonlinear LMS for Digital Self-Interference Cancellation in Full-Duplex Direct-Conversion Transceivers.
IEEE Trans. Signal Process., 2018

A Normalized Complex LMS Based Blind I/Q Imbalance Compensator for GFDM Receivers and Its Full Second-Order Performance Analysis.
IEEE Trans. Signal Process., 2018

Maximum Likelihood Parameter Estimation of Unbalanced Three-Phase Power Signals.
IEEE Trans. Instrum. Meas., 2018

In-Ear EEG Biometrics for Feasible and Readily Collectable Real-World Person Authentication.
IEEE Trans. Inf. Forensics Secur., 2018

Bringing Wearable Sensors into the Classroom: A Participatory Approach [SP Education].
IEEE Signal Process. Mag., 2018

Distributed Adaptive Filtering of α-Stable Signals.
IEEE Signal Process. Lett., 2018

Simultaneous diagonalisation of the covariance and complementary covariance matrices in quaternion widely linear signal processing.
Signal Process., 2018

A perspective on CLMS as a deficient length augmented CLMS: Dealing with second order noncircularity.
Signal Process., 2018

Performance analysis of the deficient length augmented CLMS algorithm for second order noncircular complex signals.
Signal Process., 2018

Widely linear complex partial least squares for latent subspace regression.
Signal Process., 2018

Time-frequency decomposition of multivariate multicomponent signals.
Signal Process., 2018

Probabilistic guidance for catheter tip motion in cardiac ablation procedures.
Medical Image Anal., 2018

A Novel Multivariate Sample Entropy Algorithm for Modeling Time Series Synchronization.
Entropy, 2018

Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion.
CoRR, 2018

A universal framework for learning based on the elliptical mixture model (EMM).
CoRR, 2018

Additive noise influence on the bivariate two-component signal decomposition.
Proceedings of the 7th Mediterranean Conference on Embedded Computing, 2018

Automatic detection of drowsiness using in-ear EEG.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Refreshing DSP Courses through Biopresence in the Curriculum: A Successful Paradigm.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Refreshing Digital Communications Curriculum with RFID Technology: A Participatory Approach.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality?
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

EAR-EEG for Detecting Inter-Brain Synchronisation in Continuous Cooperative Multi-Person Scenarios.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Affine-Projection Least-Mean-Magnitude-Phase Algorithms Using a Posteriori Updates.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Correntropy-Based Adaptive Filtering of Noncircular Complex Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Complementary Complex-Valued Spectrum for Real-Valued Data: Real Time Estimation of the Panorama Through Circularity-Preserving Dft.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Widely Linear CLMS Based Cancelation of Nonlinear Self -Interference in Full-Duplex Direct-Conversion Transceivers.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Tensor Ensemble Learning for Multidimensional Data.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Feature Fusion via Tensor Network Summation.
Proceedings of the 26th European Signal Processing Conference, 2018

Text Mining - A Key Lynchpin in the Investment Process: A Survey.
Proceedings of the Applications of Intelligent Systems, 2018

Hypergraph p-Laplacian: A Differential Geometry View.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Full Mean Square Analysis of CLMS for Second-Order Noncircular Inputs.
IEEE Trans. Signal Process., 2017

Noncircular Measurement and Mitigation of I/Q Imbalance for OFDM-Based WLAN Transmitters.
IEEE Trans. Instrum. Meas., 2017

Complementary Mean Square Analysis of Augmented CLMS for Second-Order Noncircular Gaussian Signals.
IEEE Signal Process. Lett., 2017

Distributed Particle Filtering of α-Stable Signals.
IEEE Signal Process. Lett., 2017

Cost-effective quaternion minimum mean square error estimation: From widely linear to four-channel processing.
Signal Process., 2017

Translation invariant multi-scale signal denoising based on goodness-of-fit tests.
Signal Process., 2017

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives.
Found. Trends Mach. Learn., 2017

Cosine Similarity Entropy: Self-Correlation-Based Complexity Analysis of Dynamical Systems.
Entropy, 2017

A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis.
Entropy, 2017

An Augmented Nonlinear Complex LMS for Digital Self-Interference Cancellation in Full-Duplex Direct-Conversion Transceivers.
CoRR, 2017

Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives.
CoRR, 2017

Diagonalisation of covariance matrices in quaternion widely linear signal processing.
CoRR, 2017

Online Multilinear Dictionary Learning for Sequential Compressive Sensing.
CoRR, 2017

Complexity science for sleep stage classification from EEG.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

The quaternion least mean magnitude phase adaptive filtering algorithm.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Widely linear adaptive frequency estimation for unbalanced three-phase power systems with multiple noisy measurements.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

On an RLS-like LMS adaptive filter.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Two-component bivariate signal decomposition based on time-frequency analysis.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

A DFT enhanced complex LMS for digital adaptive spur cancellation.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Stability of distributed extended Kalman filters.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Cost-effective diffusion Kalman filtering with implicit measurement exchanges.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An online NIPALS algorithm for Partial Least Squares.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Single-channel Wiener filtering of deterministic signals in stochastic noise using the panorama.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
A Distributed Quaternion Kalman Filter With Applications to Smart Grid and Target Tracking.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2016

Is a Complex-Valued Stepsize Advantageous in Complex-Valued Gradient Learning Algorithms?
IEEE Trans. Neural Networks Learn. Syst., 2016

Optimization in Quaternion Dynamic Systems: Gradient, Hessian, and Learning Algorithms.
IEEE Trans. Neural Networks Learn. Syst., 2016

Steady-State Behavior of General Complex-Valued Diffusion LMS Strategies.
IEEE Signal Process. Lett., 2016

Financial Stress Through Complexity Science.
IEEE J. Sel. Top. Signal Process., 2016

Introduction to the Issue on Financial Signal Processing and Machine Learning for Electronic Trading.
IEEE J. Sel. Top. Signal Process., 2016

Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach.
Int. J. Neural Syst., 2016

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions.
Found. Trends Mach. Learn., 2016

A Quaternion Frequency and Phasor Estimator for Three-Phase Power Distribution Networks.
CoRR, 2016

Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition.
CoRR, 2016

Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1.
CoRR, 2016

Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns.
Comput. Intell. Neurosci., 2016

A least squares enhanced smart DFT technique for frequency estimation of unbalanced three-phase power systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A distributed quaternion Kalman filter with applications to fly-by-wire systems.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Modelling economic stress through financial systemic balance index.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Performance advantage of quaternion widely linear estimation: An approximate uncorrelating transform approach.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Quantifying cooperation in choir singing: Respiratory and cardiac synchronisation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Novel quaternion matrix factorisations.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Stability analysis of the least-mean-magnitude-phase algorithm.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Modelling stress in public speaking: Evolution of stress levels during conference presentations.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Synchrosqueezing an effective method for analyzing Doppler radar physiological signals.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Blind source separation and artefact cancellation for single channel bioelectrical signal.
Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

2015
The Theory of Quaternion Matrix Derivatives.
IEEE Trans. Signal Process., 2015

Unsupervised State-Space Modeling Using Reproducing Kernels.
IEEE Trans. Signal Process., 2015

A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing.
IEEE Trans. Signal Process., 2015

Distributed Widely Linear Kalman Filtering for Frequency Estimation in Power Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Performance Bounds of Quaternion Estimators.
IEEE Trans. Neural Networks Learn. Syst., 2015

Quaternion-Valued Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst., 2015

Maintaining the Integrity of Sources in Complex Learning Systems: Intraference and the Correlation Preserving Transform.
IEEE Trans. Neural Networks Learn. Syst., 2015

Complex-Valued Least Squares Frequency Estimation for Unbalanced Power Systems.
IEEE Trans. Instrum. Meas., 2015

A Multivariate Empirical Mode DecompositionBased Approach to Pansharpening.
IEEE Trans. Geosci. Remote. Sens., 2015

On the Intrinsic Relationship Between the Least Mean Square and Kalman Filters [Lecture Notes].
IEEE Signal Process. Mag., 2015

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis.
IEEE Signal Process. Mag., 2015

Design of Positive-Definite Quaternion Kernels.
IEEE Signal Process. Lett., 2015

Selective Time-Frequency Reassignment Based on Synchrosqueezing.
IEEE Signal Process. Lett., 2015

Synchrosqueezing-based time-frequency analysis of multivariate data.
Signal Process., 2015

Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition.
Sensors, 2015

Convergence analysis of an augmented algorithm for fully complex-valued neural networks.
Neural Networks, 2015

EEG Signal Quality of a Subcutaneous Recording System Compared to Standard Surface Electrodes.
J. Sensors, 2015

EarEEG based visual P300 Brain-Computer Interface.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Real-time detection of rectilinear sources for wireless communication signals.
Proceedings of the 2015 International Symposium on Wireless Communication Systems (ISWCS), 2015

A non-linear state space frequency estimator for three-phase power systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Real-time estimation of quaternion impropriety.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Enabling R-peak detection in wearable ECG: Combining matched filtering and Hilbert transform.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Common components analysis via linked blind source separation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

The widely linear quaternion recursive total least squares.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A quaternion frequency estimator for three-phase power systems.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Vital signs from inside a helmet: A multichannel face-lead study.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Mean square analysis of the CLMS and ACLMS for non-circular signals: The approximate uncorrelating transform approach.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Nonuniformly sampled trivariate empirical mode decomposition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEG.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Smart helmet: Monitoring brain, cardiac and respiratory activity.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Ear-EEG: Continuous Brain Monitoring.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 3, 2014

Adaptive Convex Combination Approach for the Identification of Improper Quaternion Processes.
IEEE Trans. Neural Networks Learn. Syst., 2014

Multikernel Least Mean Square Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2014

A Class of Quaternion Kalman Filters.
IEEE Trans. Neural Networks Learn. Syst., 2014

Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions.
IEEE Trans. Inf. Theory, 2014

Dynamically-Sampled Bivariate Empirical Mode Decomposition.
IEEE Signal Process. Lett., 2014

Complex dual channel estimation: Cost effective widely linear adaptive filtering.
Signal Process., 2014

Introduction to the Issue on Signal Processing in Smart Electric Power Grid.
IEEE J. Sel. Top. Signal Process., 2014

Quaternion Gradient and Hessian.
CoRR, 2014

Distributed Widely Linear Frequency Estimation in Unbalanced Three Phase Power Systems.
CoRR, 2014

Theory of Digital filter banks Realized via multivariate Empirical mode Decomposition.
Adv. Data Sci. Adapt. Anal., 2014

Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

The HC calculus, quaternion derivatives and caylay-hamilton form of quaternion adaptive filters and learning systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

The correlation preserving transform resolves phase ambiguity in complex decorrelating transforms.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

A real time tracker of complex circularity.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

A theoretical bound for the performance advantage of quaternion widely linear estimation.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

A particle filtering based kernel HMM predictor.
Proceedings of the IEEE International Conference on Acoustics, 2014

A Quaternion Least Mean Phase adaptive estimator.
Proceedings of the IEEE International Conference on Acoustics, 2014

Subspace denoising of EEG artefacts via multivariate EMD.
Proceedings of the IEEE International Conference on Acoustics, 2014

Autoconvolution and panorama: Augmenting second-order signal analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

Estimation of phase synchrony using the synchrosqueezing transform.
Proceedings of the IEEE International Conference on Acoustics, 2014

EEG-based brain connectivity analysis of states of unawareness.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A method for quantitative assessment of artifacts in EEG, and an empirical study of artifacts.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Multimodal physiological sensor for motion artefact rejection.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Estimation of financial indices volatility using a model with time-varying parameters.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

A balancing voltage transformation for robust frequency estimation in unbalanced power systems.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

2013
The Augmented Complex Particle Filter.
IEEE Trans. Signal Process., 2013

Augmented MVDR Spectrum-Based Frequency Estimation for Unbalanced Power Systems.
IEEE Trans. Instrum. Meas., 2013

Widely Linear Modeling for Frequency Estimation in Unbalanced Three-Phase Power Systems.
IEEE Trans. Instrum. Meas., 2013

A Study of Evoked Potentials From Ear-EEG.
IEEE Trans. Biomed. Eng., 2013

Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis.
IEEE Signal Process. Mag., 2013

Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals.
IEEE Signal Process. Lett., 2013

Blind Separation of Dependent Sources With a Bounded Component Analysis Deflationary Algorithm.
IEEE Signal Process. Lett., 2013

Prediction of wide-sense stationary quaternion random signals.
Signal Process., 2013

A class of quaternion valued affine projection algorithms.
Signal Process., 2013

Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Design of oversampled generalised discrete Fourier transform filter banks for application to subband-based blind source separation.
IET Signal Process., 2013

Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms
CoRR, 2013

Multi-command Tactile and Auditory Brain Computer Interface based on Head Position Stimulation
CoRR, 2013

Distributed Widely Linear Complex Kalman Filtering.
CoRR, 2013

Emd via mEMD: multivariate noise-Aided Computation of Standard EMD.
Adv. Data Sci. Adapt. Anal., 2013

Exploiting Sparsity in Widely Linear Estimation.
Proceedings of the ISWCS 2013, 2013

On intraference and its implications in complex-valued signal processing.
Proceedings of the IEEE International Conference on Acoustics, 2013

The quaternion kernel least squares.
Proceedings of the IEEE International Conference on Acoustics, 2013

Dynamical complexity analysis of multivariate financial data.
Proceedings of the IEEE International Conference on Acoustics, 2013

An adaptive diffusion quaternion LMS algorithm for distributed networks of 3D and 4D vector sensors.
Proceedings of the 21st European Signal Processing Conference, 2013

EEG epileptic seizures separation with multivariate empirical mode decomposition for diagnostic purposes.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Ear-EEG from generic earpieces: A feasibility study.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
On Approximate Diagonalization of Correlation Matrices in Widely Linear Signal Processing.
IEEE Trans. Signal Process., 2012

Class of Widely Linear Complex Kalman Filters.
IEEE Trans. Neural Networks Learn. Syst., 2012

Widely Linear Adaptive Frequency Estimation of Unbalanced Three-Phase Power Systems.
IEEE Trans. Instrum. Meas., 2012

Identification of Defective Areas in Composite Materials by Bivariate EMD Analysis of Ultrasound.
IEEE Trans. Instrum. Meas., 2012

Adaptive Frequency Estimation in Smart Grid Applications: Exploiting Noncircularity and Widely Linear Adaptive Estimators.
IEEE Signal Process. Mag., 2012

Multivariate Multiscale Entropy Analysis.
IEEE Signal Process. Lett., 2012

An adaptive approach for the identification of improper complex signals.
Signal Process., 2012

Algorithmic Trading Using Phase Synchronization.
IEEE J. Sel. Top. Signal Process., 2012

Modelling of brain consciousness based on collaborative adaptive filters.
Neurocomputing, 2012

Reducing permutation error in subband-based convolutive blind separation.
IET Signal Process., 2012

Kalman filtering for widely linear complex and quaternion valued bearings only tracking.
IET Signal Process., 2012

Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method
CoRR, 2012

A novel augmented complex valued kernel LMS.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Widely linear state space models for frequency estimation in unbalanced three-phase systems.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

On quaternion analyticity: Enabling quaternion-valued nonlinear adaptive filtering.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On gradient calculation in quaternion adaptive filtering.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A family of least-squares magnitude phase algorithms.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Multivariate entropy analysis with data-driven scales.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Phase-based brain consciousness analysis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Auditory evoked responses from Ear-EEG recordings.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Session TP2b: Cooperative adaptation and learning (invited).
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Cooperative adaptive estimation of distributed noncircular complex signals.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Filter Bank Property of Multivariate Empirical Mode Decomposition.
IEEE Trans. Signal Process., 2011

An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals.
IEEE Trans. Neural Networks, 2011

Quaternion-Valued Nonlinear Adaptive Filtering.
IEEE Trans. Neural Networks, 2011

Fast Independent Component Analysis Algorithm for Quaternion Valued Signals.
IEEE Trans. Neural Networks, 2011

An Adaptive Diffusion Augmented CLMS Algorithm for Distributed Filtering of Noncircular Complex Signals.
IEEE Signal Process. Lett., 2011

A Quaternion Gradient Operator and Its Applications.
IEEE Signal Process. Lett., 2011

A Widely Linear Complex Unscented Kalman Filter.
IEEE Signal Process. Lett., 2011

Augmented second-order statistics of quaternion random signals.
Signal Process., 2011

The complex local mean decomposition.
Neurocomputing, 2011

Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms.
Comput. Hum. Behav., 2011

On the unitary diagonalisation of a special class of quaternion matrices.
Appl. Math. Lett., 2011

Emotional empathy transition patterns from human brain responses in interactive communication situations - Brain-computer and machine interactive interfacing approach.
AI Soc., 2011

Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A collaborative filtering approach for quasi-brain-death EEG analysis.
Proceedings of the IEEE International Conference on Acoustics, 2011

Augmented complex matrix factorisation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Blind extraction of improper quaternion sources.
Proceedings of the IEEE International Conference on Acoustics, 2011

The least-mean-magnitude-phase algorithm with applications to communications systems.
Proceedings of the IEEE International Conference on Acoustics, 2011

Estimating human response to taste using EEG.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

An in-the-ear platform for recording electroencephalogram.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Power independent EMG based gesture recognition for robotics.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Multivariate multiscale entropy for brain consciousness analysis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A unifying framework for the analysis of quaternion valued adaptive filters.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing.
J. Signal Process. Syst., 2010

A quaternion widely linear adaptive filter.
IEEE Trans. Signal Process., 2010

Quaternion-valued stochastic gradient-based adaptive IIR filtering.
IEEE Trans. Signal Process., 2010

Empirical mode decomposition for trivariate signals.
IEEE Trans. Signal Process., 2010

Noisy Component Extraction (NoiCE).
IEEE Trans. Circuits Syst. I Regul. Pap., 2010

Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics.
IEEE Trans. Circuits Syst. I Regul. Pap., 2010

An augmented affine projection algorithm for the filtering of noncircular complex signals.
Signal Process., 2010

Split quaternion nonlinear adaptive filtering.
Neural Networks, 2010

Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis.
J. Circuits Syst. Comput., 2010

A modified Armijo rule for the online selection of learning rate of the LMS algorithm.
Digit. Signal Process., 2010

A Regularised Normalised Augmented Complex Least Mean Square algorithm.
Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

Identification of improper processes by variable tap-length complex-valued adaptive filters.
Proceedings of the International Joint Conference on Neural Networks, 2010

Quaternion-valued short term forecasting of wind profile.
Proceedings of the International Joint Conference on Neural Networks, 2010

Quadrivariate Empirical Mode Decomposition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework.
Proceedings of the International Joint Conference on Neural Networks, 2010

On HR calculus, quaternion valued stochastic gradient, and adaptive three dimensional wind forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2010

An Auditory Oddball Based Brain-Computer Interface System Using Multivariate EMD.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

Performance analysis of the conventional complex LMS and augmented complex LMS algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2010

Image fusion based on Fast and Adaptive Bidimensional Empirical Mode Decomposition.
Proceedings of the 13th Conference on Information Fusion, 2010

The widely linear quaternion recursive least squares filter.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

2009
Adaptive IIR filtering of noncircular complex signals.
IEEE Trans. Signal Process., 2009

The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes.
IEEE Trans. Signal Process., 2009

Multiscale Image Fusion Using Complex Extensions of EMD.
IEEE Trans. Signal Process., 2009

A class of stochastic gradient algorithms with exponentiated error cost functions.
Digit. Signal Process., 2009

Upper bounds on the capacities of non-controllable finite-state channels using dynamic programming methods.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Complex valued recurrent neural networks for noncircular complex signals.
Proceedings of the International Joint Conference on Neural Networks, 2009

Conditioning multimodal information for smart environments.
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

A split quaternion nonlinear adaptive filter.
Proceedings of the IEEE International Conference on Acoustics, 2009

Study of the quaternion LMS and four-channel LMS algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2009

Multichannel spectral pattern separation - An EEG processing application -.
Proceedings of the IEEE International Conference on Acoustics, 2009

Qualitative analysis of rotational modes within three dimensional empirical mode decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2009

Duality between widely linear and dual channel adaptive filtering.
Proceedings of the IEEE International Conference on Acoustics, 2009

Applications of complex augmented kernels to wind profile prediction.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks.
IEEE Trans. Neural Networks, 2008

Post-Nonlinear Blind Extraction in the Presence of Ill-Conditioned Mixing.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Preface.
Neural Networks, 2008

A Homomorphic Neural Network for Modeling and Prediction.
Neural Comput., 2008

Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing.
Neurocomputing, 2008

Advances in blind signal processing.
Neurocomputing, 2008

Online Detection of the Modality of Complex-Valued Real World Signals.
Int. J. Neural Syst., 2008

Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

Fusion of visual and thermal images using complex extension of EMD.
Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

Online tracking of the degree of nonlinearity within complex signals.
Proceedings of the IEEE International Conference on Acoustics, 2008

A machine learning enhanced empirical mode decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2008

Cascaded approach for microsleep data extraction.
Proceedings of the IEEE International Conference on Acoustics, 2008

Qualitative assessment of intrinsic mode functions of empirical mode decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
A Multimodal Approach to Communicative Interactivity Classification.
J. VLSI Signal Process., 2007

EEG Based Biometric Framework for Automatic Identity Verification.
J. VLSI Signal Process., 2007

Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain.
J. VLSI Signal Process., 2007

Feature Fusion for the Detection of Microsleep Events.
J. VLSI Signal Process., 2007

Analysis and Online Realization of the CCA Approach for Blind Source Separation.
IEEE Trans. Neural Networks, 2007

Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size.
IEEE Trans. Neural Networks, 2007

Complex Empirical Mode Decomposition.
IEEE Signal Process. Lett., 2007

Biometrics from Brain Electrical Activity: A Machine Learning Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

An augmented CRTRL for complex-valued recurrent neural networks.
Neural Networks, 2007

An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks.
Neural Comput., 2007

Algorithms for BER-Constrained Variable-Length Equalizers driven by Channel Response Knowledge over Frequency-Selective Radio Channel.
Proceedings of the 65th IEEE Vehicular Technology Conference, 2007

Exploiting Nonlinearity in Adaptive Signal Processing.
Proceedings of the Advances in Nonlinear Speech Processing, 2007

Blood Volume Signal Analysis with Empirical Mode Decomposition.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Regularised Adaptive Fir Filters for Image Denoising.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Blind Extraction of Microsleep Events.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

A Unifying Approach to the Derivation of the Class of PNLMS Algorithms.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

A Class of Adaptively Regularised PNLMS Algorithms.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

A Generalised Mixed Norm Stochastic Gradient Algorithm.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Collaborative Adaptive Learning using Hybrid Filters.
Proceedings of the IEEE International Conference on Acoustics, 2007

Blind Extraction of Noisy Events using Nonlinear Predictor.
Proceedings of the IEEE International Conference on Acoustics, 2007

Rotation Invariant Complex Empirical Mode Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2007

Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations.
Proceedings of the Artifical Intelligence for Human Computing, 2007

2006
Introductory Note.
J. VLSI Signal Process., 2006

Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures.
IEEE Trans. Circuits Syst. II Express Briefs, 2006

A novel algorithm for the adaptation of the pole of Laguerre filters.
IEEE Signal Process. Lett., 2006

A normalised kurtosis-based algorithm for blind source extraction from noisy measurements.
Signal Process., 2006

An Implementation of Nonlinear Multiuser Detection in Rayleigh Fading Channel.
EURASIP J. Wirel. Commun. Netw., 2006

A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application.
Proceedings of the 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2006

A Flexible Method for Envelope Estimation in Empirical Mode Decomposition.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Sensor Network Localization Using Least Squares Kernel Regression.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

An Online Method for Detecting Nonlinearity Within a Signal.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Blind source extraction of instantaneous noisy mixtures using a linear predictor.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

An analysis of the CCA approach for blind source separation and its adaptive realization.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

A Normalised Kurtosis Based Blind Source Extraction Algorithm for Noisy Mixtures.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Sequential Detection Using Least Squares Temporal Difference Methods.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Speech Enhancement Based on the Response Features of Facilitated EI Neurons.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN.
IEEE Trans. Signal Process., 2005

A class of novel blind source extraction algorithms based on a linear predictor.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Semi-blind source separation for convolutive mixtures based on frequency invariant transformation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A class of gradient-adaptive step size algorithms for complex-valued nonlinear neural adaptive filters.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

On nonlinear modular neural filters.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Communicative Interactivity - A Multimodal Communicative Situation Classification Approach.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric?
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Data Fusion for Modern Engineering Applications: An Overview.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
A novel method for determining the nature of time series.
IEEE Trans. Biomed. Eng., 2004

A generalized normalized gradient descent algorithm.
IEEE Signal Process. Lett., 2004

A novel adaptive learning rate sequential blind source separation algorithm.
Signal Process., 2004

A Complex-Valued RTRL Algorithm for Recurrent Neural Networks.
Neural Comput., 2004

A non-parametric test for detecting the complex-valued nature of time series.
Int. J. Knowl. Based Intell. Eng. Syst., 2004

Heteroscedastic kernel ridge regression.
Neurocomputing, 2004

Quality assessment of hybrid nonlinear filters.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
A fully adaptive normalized nonlinear gradient descent algorithm for complex-valued nonlinear adaptive filters.
IEEE Trans. Signal Process., 2003

Signal Nonlinearity in fMRI: A Comparison between BOLD and MION.
IEEE Trans. Medical Imaging, 2003

A Data Reusing Nonlinear Gradient Descent Algorithm for a Class of Complex Valued Neural Adaptive Filters.
Neural Process. Lett., 2003

A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function.
Neural Networks, 2003

Recurrent neural networks with trainable amplitude of activation functions.
Neural Networks, 2003

On "an improved approach for nonlinear system identification using neural networks".
J. Frankl. Inst., 2003

An on-line algorithm for blind source extraction based on nonlinear prediction approach.
Proceedings of the NNSP 2003, 2003

Nonlinear adaptive prediction using a complex-valued PRNN.
Proceedings of the NNSP 2003, 2003

A Fast Converging Sequential Blind Source Separation Algorithm for Cyclostationary Sources.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

A normalized mixed-norm adaptive filtering algorithm robust under impulsive noise interference.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Analysis of the class of complex-valued error adaptive normalised nonlinear gradient descent algorithms.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A differential entropy based method for determining the optimal embedding parameters of a signal.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A gradient adaptive step size algorithm for IIR filters.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity.
IEEE Signal Process. Lett., 2002

Data-Reusing Recurrent Neural Adaptive Filters.
Neural Comput., 2002

A spatially-adaptive neural network approach to regularized image restoration.
J. Intell. Fuzzy Syst., 2002

Spatially Adaptive Image Restoration by Neural Network Filtering.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Fully adaptive neural nonlinear FIR filters.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

A hierarchical feedforward adaptive filter for system identification.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

A global gradient descent algorithm for hierarchical FIR adaptive filters.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

On sensitivity of neural adaptive filters with respect to the slope parameter of a neuron activation function.
Proceedings of the IEEE International Conference on Acoustics, 2002

A general adaptive normalised nonlinear-gradient descent algorithm for nonlinear adaptive filters.
Proceedings of the IEEE International Conference on Acoustics, 2002

On the derivation of the optimal payload size for packet based transmission over a binary symmetrical communication channel.
Proceedings of the IEEE International Conference on Acoustics, 2002

A normalised complex backpropagation algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2002

Error Functions for Prediction of Episodes of Poor Air Quality.
Proceedings of the Artificial Neural Networks, 2002

Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
A normalized gradient descent algorithm for nonlinear adaptive filters using a gradient adaptive step size.
IEEE Signal Process. Lett., 2001

A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification.
Proceedings of the IEEE International Conference on Acoustics, 2001

Nonlinear modelling of air pollution time series.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Advanced RNN Based NARMA Predictors.
J. VLSI Signal Process., 2000

On the choice of parameters of the cost function in nested modular RNN's.
IEEE Trans. Neural Networks Learn. Syst., 2000

A normalised real time recurrent learning algorithm.
Signal Process., 2000

Towards the Optimal Learning Rate for Backpropagation.
Neural Process. Lett., 2000

Relationships Between the A Priori and A Posteriori Errors in Nonlinear Adaptive Neural Filters.
Neural Comput., 2000

On the Choice of Tactile Code.
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000

On global asymptotic stability of fully connected recurrent neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2000

Some potential pitfalls with s to z-plane mappings.
Proceedings of the IEEE International Conference on Acoustics, 2000

Visualising error surfaces for adaptive filters and other purposes.
Proceedings of the IEEE International Conference on Acoustics, 2000

A normalized gradient algorithm for an adaptive recurrent perceptron.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Toward an optimal PRNN-based nonlinear predictor.
IEEE Trans. Neural Networks, 1999

Exploiting inherent relationships in RNN architectures.
Neural Networks, 1999

Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network.
Neural Comput., 1999

Global asymptotic convergence of nonlinear relaxation equations realised through a recurrent perceptron.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999


  Loading...