Sergios Theodoridis

Orcid: 0000-0001-5040-161X

According to our database1, Sergios Theodoridis authored at least 241 papers between 1987 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2008, "For contributions to the design of adaptive signal processing systems".

Timeline

Legend:

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Online presence:

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Bibliography

2024
A Matrix-Factorization-Error-Ratio Approach to Cooperative Sensing in Non-Ideal Communication Environment.
IEEE Trans. Signal Process., 2024

Audio xLSTMs: Learning Self-supervised audio representations with xLSTMs.
CoRR, 2024

Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Cooperative Sensing Via Matrix Factorization of the Partially Received Sample Covariance Matrix.
Proceedings of the IEEE International Conference on Acoustics, 2024

Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Masked Autoencoders with Multi-Window Attention Are Better Audio Learners.
CoRR, 2023

Interpretable Nonnegative Incoherent Deep Dictionary Learning for FMRI Data Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023

Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior.
IEEE Trans. Signal Process., 2022

Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling.
IEEE Signal Process. Mag., 2022

Bayesian Photonic Accelerators for Energy Efficient and Noise Robust Neural Processing.
CoRR, 2022

A Stimuli-Relevant Directed Dependency Index for Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2022

Bayesian Training in Photonic Neural Meshes.
Proceedings of the IEEE Workshop on Complexity in Engineering, 2022

2021
Advances in Machine Learning and Deep Neural Networks.
Proc. IEEE, 2021

Enhanced design matrix for task-related fMRI data analysis.
NeuroImage, 2021

Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness.
CoRR, 2021

Dialog Speech Sentiment Classification for Imbalanced Datasets.
Proceedings of the Speech and Computer - 23rd International Conference, 2021

Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Local Competition and Stochasticity for Adversarial Robustness in Deep Learning.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series.
IEEE Trans. Signal Process., 2020

Toward the 6G Network Era: Opportunities and Challenges.
IT Prof., 2020

Towards Probabilistic Tensor Canonical Polyadic Decomposition 2.0: Automatic Tensor Rank Learning Using Generalized Hyperbolic Prior.
CoRR, 2020

Early soft and flexible fusion of EEG and fMRI via tensor decompositions.
CoRR, 2020

FedLoc: Federated Learning Framework for Cooperative Localization and Location Data Processing.
CoRR, 2020

Variational Conditional-Dependence Hidden Markov Models for Human Action Recognition.
CoRR, 2020

Information Assisted Dictionary Learning for fMRI Data Analysis.
IEEE Access, 2020

An Interpretable and Sample Efficient Deep Kernel for Gaussian Process.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series.
CoRR, 2019

Unsupervised Pre-training of the Brain Connectivity Dynamic Using Residual D-Net.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Nonparametric Bayesian Deep Networks with Local Competition.
Proceedings of the 36th International Conference on Machine Learning, 2019

Tensor-based Blind fMRI Source Separation Without the Gaussian Noise Assumption - A β-Divergence Approach.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Spectral Clustering.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features.
IEEE Trans. Signal Process., 2018

Unsupervised learning of the brain connectivity dynamic using residual D-net.
CoRR, 2018

Distributed Set-Theoretic Parameter Estimation in Networks with Ambiguous Measurements.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Sparse Structure Enabled Grid Spectral Mixture Kernel for Temporal Gaussian Process Regression.
Proceedings of the 21st International Conference on Information Fusion, 2018

Fusion of EEG and fMRI via Soft Coupled Tensor Decompositions.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
A Message From the Outgoing Editor-in-Chief.
IEEE Trans. Signal Process., 2017

Robust Nonlinear Regression: A Greedy Approach Employing Kernels With Application to Image Denoising.
IEEE Trans. Signal Process., 2017

Heterogeneous and Multitask Wireless Sensor Networks - Algorithms, Applications, and Challenges.
IEEE J. Sel. Top. Signal Process., 2017

Assisted dictionary learning for FMRI data analysis.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Higher-Order Block Term Decomposition for Spatially Folded fMRI Data.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

PARAFAC2 and its block term decomposition analog for blind fMRI source unmixing.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Robust non-linear regression analysis: A greedy approach employing kernels and application to image denoising.
CoRR, 2016

Higher-Order Block Term Decomposition for Spatially Folded fMRI Data.
CoRR, 2016

Efficient KLMS and KRLS algorithms: A random fourier feature perspective.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Adapt-Align-Combine for diffusion-based distributed dictionary learning.
Proceedings of the 24th European Signal Processing Conference, 2016

Sparsity-aware distributed learning.
Proceedings of the Big Data over Networks, 2016

2015
Robust Linear Regression Analysis - A Greedy Approach.
IEEE Trans. Signal Process., 2015

Greedy Sparsity-Promoting Algorithms for Distributed Learning.
IEEE Trans. Signal Process., 2015

Robust Subspace Tracking With Missing Entries: The Set-Theoretic Approach.
IEEE Trans. Signal Process., 2015

Complex Support Vector Machines for Regression and Quaternary Classification.
IEEE Trans. Neural Networks Learn. Syst., 2015

Pattern classification formulated as a missing data task: The audio genre classification case.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Iterative randomized robust linear regression.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Distributed robust labeling of audio sources in heterogeneous wireless sensor networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

An online algorithm for distributed dictionary learning.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Robust regression in RKHS - An overview.
Proceedings of the 23rd European Signal Processing Conference, 2015

Distributed robust subspace tracking.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Guest Editorial Special Section on the 2013 IEEE International Symposium on Circuits and Systems (ISCAS 2013).
IEEE Trans. Circuits Syst. I Regul. Pap., 2014

Preamble-based channel estimation in single-relay networks using FBMC/OQAM.
EURASIP J. Adv. Signal Process., 2014

Robust Linear Regression Analysis - A Greedy Approach.
CoRR, 2014

Efficient adaptive equalization of doubly dispersive channels in MIMO-FBMC/OQAM systems.
Proceedings of the 11th International Symposium on Wireless Communications Systems, 2014

Vibrato detection in Byzantine Chant Music.
Proceedings of the 6th International Symposium on Communications, 2014

An Adaptive Projected Subgradient based algorithm for robust subspace tracking.
Proceedings of the IEEE International Conference on Acoustics, 2014

Speech-music discrimination: A deep learning perspective.
Proceedings of the 22nd European Signal Processing Conference, 2014

Robust linear regression analysis - The greedy way.
Proceedings of the 22nd European Signal Processing Conference, 2014

FMRI unmixing via properly adjusted dictionary learning.
Proceedings of the 22nd European Signal Processing Conference, 2014

Sparsity-aware learning in the context of echo cancelation: A set theoretic estimation approach.
Proceedings of the 22nd European Signal Processing Conference, 2014

Robust image denoising in RKHS via orthogonal matching pursuit.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
Generalized Thresholding and Online Sparsity-Aware Learning in a Union of Subspaces.
IEEE Trans. Signal Process., 2013

Adaptation and Learning over Complex Networks [From the Guest Editors].
IEEE Signal Process. Mag., 2013

Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors].
IEEE Signal Process. Mag., 2013

Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise.
IEEE Signal Process. Lett., 2013

Preamble-based channel estimation in OFDM/OQAM systems: A review.
Signal Process., 2013

Introduction to the issue on adaptation and learning over complex networks.
IEEE J. Sel. Top. Signal Process., 2013

Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction.
IEEE J. Sel. Top. Signal Process., 2013

Complex Support Vector Machines for Regression and Quaternary Classification
CoRR, 2013

Optimal training design for channel estimation in OFDM/OQAM cooperative systems.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Robust kernel-based regression using Orthogonal Matching Pursuit.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Complex support vector machines for quaternary classification.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Generalized Iterative Thresholding for Sparsity-Aware Online Volterra System Identification.
Proceedings of the ISWCS 2013, 2013

Preamble Design for Channel Estimation in OFDM/OQAM Cooperative Systems.
Proceedings of the ISWCS 2013, 2013

Thresholding-based online algorithms of complexity comparable to sparse LMS methods.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

A greedy sparsity-promoting LMS for distributed adaptive learning in diffusion networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

New operators for fixed-point theory: The sparsity-aware learning case.
Proceedings of the 21st European Signal Processing Conference, 2013

Training-based and blind algorithms for sparsity-aware distributed learning.
Proceedings of the 21st European Signal Processing Conference, 2013

Sparsity-Aware Adaptive Learning: A Set Theoretic Estimation Approach.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012
A Sparsity Promoting Adaptive Algorithm for Distributed Learning.
IEEE Trans. Signal Process., 2012

The Augmented Complex Kernel LMS.
IEEE Trans. Signal Process., 2012

Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case.
IEEE Trans. Neural Networks Learn. Syst., 2012

Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients.
IEEE Trans. Neural Networks Learn. Syst., 2012

Adaptive BLAST-type decision-feedback equalizers for DS-CDMA systems.
Signal Process., 2012

Sparsity-Aware Learning and Compressed Sensing: An Overview
CoRR, 2012

Generalized thresholding sparsity-aware algorithm for low complexity online learning.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On OFDM/OQAM receivers.
Proceedings of the 20th European Signal Processing Conference, 2012

Sparsity-promoting adaptive algorithm for distributed learning in diffusion networks.
Proceedings of the 20th European Signal Processing Conference, 2012

Complex support vector regression.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted ell<sub>1</sub> Balls.
IEEE Trans. Signal Process., 2011

Adaptive Robust Distributed Learning in Diffusion Sensor Networks.
IEEE Trans. Signal Process., 2011

Extension of Wirtinger's Calculus to Reproducing Kernel Hilbert Spaces and the Complex Kernel LMS.
IEEE Trans. Signal Process., 2011

Adaptive Learning in a World of Projections.
IEEE Signal Process. Mag., 2011

A hierarchical feature fusion framework for adaptive visual tracking.
Image Vis. Comput., 2011

Multimodal and ontology-based fusion approaches of audio and visual processing for violence detection in movies.
Expert Syst. Appl., 2011

A Sparsity-Aware Adaptive Algorithm for Distributed Learning
CoRR, 2011

Generalized Thresholding Sparsity-Aware Online Learning in a Union of Subspaces
CoRR, 2011

A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry.
Comput. Methods Programs Biomed., 2011

Reduced complexity online sparse signal reconstruction using projections onto weighted ℓ1 balls.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Revisiting adaptive least-squares estimation and application to online sparse signal recovery.
Proceedings of the IEEE International Conference on Acoustics, 2011

Trading off communications bandwidth with accuracy in adaptive diffusion networks.
Proceedings of the IEEE International Conference on Acoustics, 2011

Robust adaptive sparse system identification by using weighted l1 balls and Moreau envelopes.
Proceedings of the 19th European Signal Processing Conference, 2011

Widely linear kernel-based adaptive filters.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Preamble-based channel estimation for CP-OFDM and OFDM/OQAM systems: a comparative study.
IEEE Trans. Signal Process., 2010

Adaptive Kernel-Based Image Denoising Employing Semi-Parametric Regularization.
IEEE Trans. Image Process., 2010

Semi-blind maximum-likelihood joint channel/data estimation for correlated channels in multiuser MIMO networks.
Signal Process., 2010

Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces
CoRR, 2010

Extension of Wirtinger's Calculus in Reproducing Kernel Hilbert Spaces and the Complex Kernel LMS
CoRR, 2010

Extension of Wirtinger Calculus in RKH Spaces and the Complex Kernel LMS
CoRR, 2010

Online Sparse System Identification and Signal Reconstruction using Projections onto Weighted ℓ<sub>1</sub> Balls
CoRR, 2010

Audio-Visual Fusion for Detecting Violent Scenes in Videos.
Proceedings of the Artificial Intelligence: Theories, 2010

A Multimodal Approach to Violence Detection in Video Sharing Sites.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Adaptive algorithm for sparse system identification using projections onto weighted <i>l</i>1 balls.
Proceedings of the IEEE International Conference on Acoustics, 2010

Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

The Complex Gaussian Kernel LMS Algorithm.
Proceedings of the Artificial Neural Networks, 2010

A novel adaptive algorithm for diffusion networks using projections onto hyperslabs.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
Spectral Clustering.
Proceedings of the Encyclopedia of Database Systems, 2009

Adaptive constrained learning in reproducing Kernel Hilbert spaces: the robust beamforming case.
IEEE Trans. Signal Process., 2009

A fully automated complete segmentation scheme for mammograms.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Affinely constrained online learning and its application to beamforming.
Proceedings of the IEEE International Conference on Acoustics, 2009

A dimensional approach to emotion recognition of speech from movies.
Proceedings of the IEEE International Conference on Acoustics, 2009

A fully automated scheme for breast density estimation and asymmetry detection of mammograms.
Proceedings of the 17th European Signal Processing Conference, 2009

Adaptive structural analysis of music recordings.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Online Kernel-Based Classification Using Adaptive Projection Algorithms.
IEEE Trans. Signal Process., 2008

On Training Optimization for Estimation of Correlated MIMO Channels in the Presence of Multiuser Interference.
IEEE Trans. Signal Process., 2008

Pattern Recognition.
IEEE Trans. Neural Networks, 2008

A Speech/Music Discriminator of Radio Recordings Based on Dynamic Programming and Bayesian Networks.
IEEE Trans. Multim., 2008

Sliding Window Generalized Kernel Affine Projection Algorithm Using Projection Mappings.
EURASIP J. Adv. Signal Process., 2008

Emerging Machine Learning Techniques in Signal Processing.
EURASIP J. Adv. Signal Process., 2008

Music tracking in audio streams from movies.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

Sliding window online Kernel-based classification by projection mappings.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

A novel efficient approach for audio segmentation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Gunshot detection in audio streams from movies by means of dynamic programming and Bayesian networks.
Proceedings of the IEEE International Conference on Acoustics, 2008

Robust adaptive nonlinear beamforming by kernels and projection mappings.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification Task.
IEEE Trans. Neural Networks, 2007

Reduced Convex Hulls: A Geometric Approach to Support Vector Machines [Lecture Notes].
IEEE Signal Process. Mag., 2007

Training-based estimation of correlated MIMO fading channels in the presence of colored interference.
Signal Process., 2007

Keyword-guided word spotting in historical printed documents using synthetic data and user feedback.
Int. J. Document Anal. Recognit., 2007

Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes.
Artif. Intell. Medicine, 2007

A Multi-Class Audio Classification Method With Respect To Violent Content In Movies Using Bayesian Networks.
Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, 2007

An Application of Empirical Mode Decomposition on Tempo Induction from Music Recordings.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Music Retrieval by Rhythmic Similarity Applied on Greek and African Traditional Music.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Hierarchical Feature Fusion for Visual Tracking.
Proceedings of the International Conference on Image Processing, 2007

Online Kernel-Based Classification by Projections.
Proceedings of the IEEE International Conference on Acoustics, 2007

Locating Rhythmic Patterns in Music Recordings using Hidden Markov Models.
Proceedings of the IEEE International Conference on Acoustics, 2007

A Bayesian Network Approach to Semantic Labelling of Text Formatting in XML Corpora of Documents.
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2007

A dynamic programming approach to speech/music discrimination of radio recordings.
Proceedings of the 15th European Signal Processing Conference, 2007


2006
An efficient low complexity cluster-based MLSE equalizer for frequency-selective fading channels.
IEEE Trans. Wirel. Commun., 2006

On the least-squares performance of a novel efficient center estimation method for clustering-based MLSE equalization.
IEEE Trans. Signal Process., 2006

A geometric approach to Support Vector Machine (SVM) classification.
IEEE Trans. Neural Networks, 2006

Classification of musical patterns using variable duration hidden Markov models.
IEEE Trans. Speech Audio Process., 2006

A Novel Efficient Cluster-Based MLSE Equalizer for Satellite Communication Channels with M-QAM Signaling.
EURASIP J. Adv. Signal Process., 2006

Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers.
Artif. Intell. Medicine, 2006

Violence Content Classification Using Audio Features.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

A computationally efficient speech/music discriminator for radio recordings.
Proceedings of the ISMIR 2006, 2006

A novel SVM Geometric Algorithm based on Reduced Convex Hulls.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Speech/Music Discriminator for Radio Recordings Using Bayesian Networks.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers.
Proceedings of the Artificial Neural Networks, 2006

Speech/music discrimination for radio broadcasts using a hybrid HMM-Bayesian Network architecture.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
A Novel HMM Approach to Melody Spotting in Raw Audio Recordings.
Proceedings of the ISMIR 2005, 2005

Melody spotting in raw audio recordings using Variable Duration Hidden Markov Models.
Proceedings of the 13th European Signal Processing Conference, 2005

Support Vector Machine (SVM) classification through geometry.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Music meter and tempo tracking from raw polyphonic audio.
Proceedings of the ISMIR 2004, 2004

An efficient low complexity clustering-based MLSE equalizer for frequency-selective fading channels.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
An efficient low-complexity technique for MLSE equalizers for linear and nonlinear channels.
IEEE Trans. Signal Process., 2003

Recognition of isolated musical patterns using context dependent dynamic time warping.
IEEE Trans. Speech Audio Process., 2003

A novel cluster based MLSE equalizer for M-PAM signaling schemes.
Signal Process., 2003

Editorial.
EURASIP J. Adv. Signal Process., 2003

2002
Pattern Recognition.
Proceedings of the Encyclopedia of Information Systems, 2002

Optical character recognition of the Orthodox Hellenic Byzantine Music notation.
Pattern Recognit., 2002

Recognition of Isolated Musical Patterns Using Hidden Markov Models.
Proceedings of the Music and Artificial Intelligence, Second International Conference, 2002

Mammographic mass classification using textural features and descriptive diagnostic data.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet features.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

A novel cluster based MLSE equalizer for 2-PAM signaling scheme.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Pattern Recognition and Neural Networks.
Proceedings of the Machine Learning and Its Applications, Advanced Lectures, 2001

2000
Blind and semi-blind equalization using hidden Markov models and clustering techniques.
Signal Process., 2000

An Optical Music Recognition System for the Notation of the Orthodox Hellenic Byzantine Music.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Co-channel interference rejection using clustering techniques and fuzzy inference.
Proceedings of the 10th European Signal Processing Conference, 2000

A post-classification scheme for an OCR system for the notation of the Orthodox Hellenic Byzantine Music.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Channel equalization for coded signals in hostile environments.
IEEE Trans. Signal Process., 1999

A new fast block adaptive algorithm.
IEEE Trans. Signal Process., 1999

Efficient least squares adaptive algorithms for FIR transversal filtering.
IEEE Signal Process. Mag., 1999

Wavelet-based medical image compression.
Future Gener. Comput. Syst., 1999

Pattern recognition.
Academic Press, ISBN: 978-0-12-686140-2, 1999

1998
Multichannel fast QRD-LS adaptive filtering: new technique and algorithms.
IEEE Trans. Signal Process., 1998

New fast QR decomposition least squares adaptive algorithms.
IEEE Trans. Signal Process., 1998

Efficient block implementation of the decision feedback equalizer.
IEEE Signal Process. Lett., 1998

Mirror-image symmetric perfect-reconstruction FIR filter banks: Parametrization and design.
Signal Process., 1998

Recognition of isolated musical patterns using discrete observation Hidden Markov models.
Proceedings of the 9th European Signal Processing Conference, 1998

Blind equalization of nonlinear channels using Hidden Markov Models.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Efficient clustering techniques for channel equalization in hostile environments.
Signal Process., 1997

Recognition of Isolated Musical Patterns in the context of Greek Traditional Music using Dynamic Time Warping Techniques.
Proceedings of the 1997 International Computer Music Conference, 1997

Fast sliding transforms in transform-domain adaptive filtering.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
On the perfect reconstruction problem in N-band multirate maximally decimated FIR filter banks.
IEEE Trans. Signal Process., 1996

On inverse factorization adaptive least-squares algorithms.
Signal Process., 1996

Nonlinear adaptive filters for speckle suppression in ultrasonic images.
Signal Process., 1996

An adaptive LS algorithm based on orthogonal Householder transformations.
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996

Recognition of isolated musical patterns in the context of Greek traditional music.
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996

Perfect-reconstruction FIR filter banks with mirror-image symmetry.
Proceedings of Third International Conference on Electronics, Circuits, and Systems, 1996

Efficient clustering techniques for supervised and blind channel equalization in hostile environments.
Proceedings of the 8th European Signal Processing Conference, 1996

A highly parallel multichannel fast qrd-ls adaptive algorithm.
Proceedings of the 8th European Signal Processing Conference, 1996

On perfect-reconstruction FIR filter banks.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
A fast Newton multichannel algorithm for decision feedback equalization.
IEEE Trans. Signal Process., 1995

New fast inverse QR least squares adaptive algorithms.
Proceedings of the 1995 International Conference on Acoustics, 1995

An efficient block Newton-type algorithm.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
The fast Newton transversal filter: an efficient scheme for acoustic echo cancellation in mobile radio.
IEEE Trans. Signal Process., 1994

Array processor for block adaptive LS FIR filtering.
Signal Process., 1994

Efficient Levinson- and Schur-type algorithms for block near-to-Toeplitz systems of equations.
Signal Process., 1994

Adaptive non-linear equalisation of digital communications channels.
Signal Process., 1994

1993
Efficient Symmetric Algorithms for the Modified Covariance Method for Autoregressive Spectral Analysis.
IEEE Trans. Signal Process., 1993

1992
Complexity reduction in fast RLS transversal adaptive filters with application to acoustic echo cancellation.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
A pipelined structure for QR adaptive LS system identification.
IEEE Trans. Signal Process., 1991

Fast Newton transversal filters-a new class of adaptive estimation algorithms.
IEEE Trans. Signal Process., 1991

Highly concurrent algorithm for the solution of ϱ-Toeplitz system of equations.
Signal Process., 1991

Array processor for LS FIR system identification.
Microprocessing and Microprogramming, 1991

Efficient Levinson type algorithm for block ρ-Toeplitz systems.
Proceedings of the 1991 International Conference on Acoustics, 1991

Mapping FIR filtering on systolic rings.
Proceedings of the Application Specific Array Processors, 1991

1990
Pipelined algorithm for LS FIR filters with symmetric impulse response.
IEEE Trans. Acoust. Speech Signal Process., 1990

Pipeline architecture for block adaptive LS FIR filtering and prediction.
IEEE Trans. Acoust. Speech Signal Process., 1990

New Levinson, Schur, and lattice type algorithms for linear phase filtering.
IEEE Trans. Acoust. Speech Signal Process., 1990

A normalized lattice algorithm for AR spectral analysis and system identification filters with symmetric impulse response.
IEEE Trans. Acoust. Speech Signal Process., 1990

1989
Concurrent algorithms for a class of 1-D and 2-D Wiener FIR filters with symmetrical impulse response.
IEEE Trans. Acoust. Speech Signal Process., 1989

Interference rejection in PN spread-spectrum systems with LS linear phase FIR filters.
IEEE Trans. Commun., 1989

A novel structure for adaptive LS FIR filtering based on QR decomposition.
Proceedings of the IEEE International Conference on Acoustics, 1989

1988
Efficient structurally symmetric algorithms for least squares FIR filters with linear phase.
IEEE Trans. Acoust. Speech Signal Process., 1988

Highly parallel algorithms for LS FIR smoothing and MEM spectral analysis.
Proceedings of the IEEE International Conference on Acoustics, 1988

1987
A fast algorithm for block LS design of FIR filters with linear phase and optimum lag.
IEEE Trans. Acoust. Speech Signal Process., 1987

Parallel implementation of efficient LS algorithms for filtering and prediction.
IEEE Trans. Acoust. Speech Signal Process., 1987

Fast adaptive least squares algorithms for power spectral estimation.
IEEE Trans. Acoust. Speech Signal Process., 1987

Parallel algorithm for MSE estimation of 2-D noncasual image models.
Microprocess. Microprogramming, 1987

LS FIR Smoothers and application to interference rejection in PN spread spectrum systems.
Proceedings of the IEEE International Conference on Acoustics, 1987


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