Yuantao Gu

Orcid: 0000-0002-8427-1021

According to our database1, Yuantao Gu authored at least 189 papers between 2003 and 2024.

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Bibliography

2024
Adversarial Samples Detection Based on Feature Attribution and Contrast in Modulation Recognition.
IEEE Commun. Lett., November, 2024

Counterfactual Threshold Learning for Drone RF Signal Classification Under Interference Conditions.
IEEE Wirel. Commun. Lett., July, 2024

SageFormer: Series-Aware Framework for Long-Term Multivariate Time-Series Forecasting.
IEEE Internet Things J., May, 2024

An Extreme Value Theory-Based Approach for Reliable Drone RF Signal Identification.
IEEE Trans. Cogn. Commun. Netw., April, 2024

Boosting Open-Set RF Signal Recognition Under Low SNR Condition in Feature Space.
IEEE Commun. Lett., March, 2024

DSRKD: Joint Despecking and Super-Resolution of SAR Images via Knowledge Distillation.
IEEE Trans. Geosci. Remote. Sens., 2024

SAR Image Compression With Inherent Denoising Capability Through Knowledge Distillation.
IEEE Geosci. Remote. Sens. Lett., 2024

Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems.
CoRR, 2024

Sub-6GHz Aided Hybrid Beamforming for mmWave System.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Unravel Anomalies: an End-to-End Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

EPA: Neural Collapse Inspired Robust Out-of-distribution Detector.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
MSCA: An Unsupervised Anomaly Detection System for Network Security in Backbone Network.
IEEE Trans. Netw. Sci. Eng., 2023

SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting.
CoRR, 2023

Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework.
CoRR, 2023

Multi-Agent Reinforcement Learning with Reward Delays.
Proceedings of the Learning for Dynamics and Control Conference, 2023

MelMAE-VC: Extending Masked Autoencoders to Voice Conversion.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Incremental Aggregated Riemannian Gradient Method for Distributed PCA.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Benign overfitting of non-smooth neural networks beyond lazy training.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Oblivious near-optimal sampling for multidimensional signals with Fourier constraints.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Quantization for Communication-Efficient Change-Point Detection Over Networks.
IEEE Trans. Signal Process., 2022

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction.
IEEE Trans. Inf. Theory, 2022

A General Framework for Accurate and Private Mean Estimation.
IEEE Signal Process. Lett., 2022

$\ell _1$ Regularization in Two-Layer Neural Networks.
IEEE Signal Process. Lett., 2022

Communication-Efficient Decentralized Subspace Estimation.
IEEE J. Sel. Top. Signal Process., 2022

Multi-Agent Reinforcement Learning with Reward Delays.
CoRR, 2022

2021
Minimum Error Entropy Kalman Filter.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Correntropy-Based Multiview Subspace Clustering.
IEEE Trans. Cybern., 2021

2-D Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Request-Response and Censoring-Based Energy-Efficient Decentralized Change-Point Detection With IoT Applications.
IEEE Internet Things J., 2021

The Rate of Convergence of Variation-Constrained Deep Neural Networks.
CoRR, 2021

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps.
CoRR, 2021

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph.
Proceedings of the 38th International Conference on Machine Learning, 2021

Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Dimensionality-reduced Secure Outlier Detection on Union of Subspaces.
Proceedings of the 5th IEEE International Conference on Cryptography, Security and Privacy, 2021

Softmax Policy Gradient Methods Can Take Exponential Time to Converge.
Proceedings of the Conference on Learning Theory, 2021

2020
Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee.
IEEE Trans. Signal Process., 2020

Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces.
IEEE Trans. Signal Process., 2020

Fixed-Point Minimum Error Entropy With Fiducial Points.
IEEE Trans. Signal Process., 2020

Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization.
IEEE Trans. Signal Process., 2020

Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics.
IEEE Trans. Signal Process., 2020

Probability Density Rank-Based Quantization for Convex Universal Learning Machines.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Unified Framework of Non-Orthogonal Pilot Design for Multi-Cell Massive MIMO Systems.
IEEE Trans. Commun., 2020

The Efficacy of L<sub>1s</sub> Regularization in Two-Layer Neural Networks.
CoRR, 2020

Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hyperspectral Image Clustering based on Variational Expectation Maximization.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Principal Angle Detector for Subspace Signal with Structured Unknown Interference.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

An Easy-to-Implement Framework of Fast Subspace Clustering For Big Data Sets.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Distributed Non-Orthogonal Pilot Design for Multi-Cell Massive Mimo Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Efficient Channel Estimation for mmWave MIMO With Transceiver Hardware Impairments.
IEEE Trans. Veh. Technol., 2019

Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees.
IEEE Trans. Signal Process., 2019

Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

DOA Estimation in Impulsive Noise via Low-Rank Matrix Approximation and Weakly Convex Optimization.
IEEE Trans. Aerosp. Electron. Syst., 2019

Smoothed sparse recovery via locally competitive algorithm and forward Euler discretization method.
Signal Process., 2019

Walk Proximal Gradient: An Energy-Efficient Algorithm for Consensus Optimization.
IEEE Internet Things J., 2019

Compressive Sensing-Based Data Aggregation Approaches for Dynamic WSNs.
IEEE Commun. Lett., 2019

Compressed Subspace Learning Based on Canonical Angle Preserving Property.
CoRR, 2019

Johnson-Lindenstrauss Property Implies Subspace Restricted Isometry Property.
CoRR, 2019

Linearized ADMM for Nonconvex Nonsmooth Optimization With Convergence Analysis.
IEEE Access, 2019

A Block Sparsity Based Channel Estimation Technique for mmWave Massive MIMO with Beam Squint Effect.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

An Efficient Algorithm for Hyperspectral Image Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019

Enhanced Streaming Based Subspace Clustering Applied to Acoustic Scene Data Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019

Information Theoretic Lower Bound of Restricted Isometry Property Constant.
Proceedings of the IEEE International Conference on Acoustics, 2019

Pilot-Free Channel Change Detection for mmWave Massive MIMO System.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Capturing the Sparsity for Massive MIMO Channel with Approximate Message Passing.
Proceedings of the Communications, Signal Processing, and Systems, 2019

2018
Sparse Recovery Conditions and Performance Bounds for ℓ<sub>p</sub>-Minimization.
IEEE Trans. Signal Process., 2018

Nonconvex Sparse Logistic Regression With Weakly Convex Regularization.
IEEE Trans. Signal Process., 2018

Spatio-Temporal Signal Recovery Based on Low Rank and Differential Smoothness.
IEEE Trans. Signal Process., 2018

Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces.
IEEE Trans. Signal Process., 2018

An RIP-Based Performance Guarantee of Covariance-Assisted Matching Pursuit.
IEEE Signal Process. Lett., 2018

Active Orthogonal Matching Pursuit for Sparse Subspace Clustering.
IEEE Signal Process. Lett., 2018

Robust sparse recovery via weakly convex optimization in impulsive noise.
Signal Process., 2018

A General Framework for Understanding Compressed Subspace Clustering Algorithms.
IEEE J. Sel. Top. Signal Process., 2018

Subspace Change-Point Detection: A New Model and Solution.
IEEE J. Sel. Top. Signal Process., 2018

Channel Estimation for mmWave MIMO With Transmitter Hardware Impairments.
IEEE Commun. Lett., 2018

A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization.
CoRR, 2018

Rigorous Restricted Isometry Property of Low-Dimensional Subspaces.
CoRR, 2018

Outage Probability Conjecture Does Not Hold for Two-Input-Multiple-Output (TIM 0) System.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Nonconvex Sparse Logistic Regression via Proximal Gradient Descent.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Joint Detection and Reconstruction Method for Blind Graph Signal Recovery.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Convergence Analysis on a Fast Iterative Phase Retrieval Algorithm Without Independence Assumption.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Change-Point Detection of Gaussian Graph Signals with Partial Information.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Subspace Data Visualization with Dissimilarity Based on Principal Angle.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

A Novel Backbone Network Anomaly Detector via Clustering in Sketch Space.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

Restricted Isometry Property for Low-Dimensional Subspaces and its Application in Compressed Subspace Clustering.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

Subspace Principal Angle Preserving Property of Gaussian Random Projection.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
Cross-Label Suppression: A Discriminative and Fast Dictionary Learning With Group Regularization.
IEEE Trans. Image Process., 2017

Off-grid DOA estimation with nonconvex regularization via joint sparse representation.
Signal Process., 2017

Time-Varying Graph Signal Reconstruction.
IEEE J. Sel. Top. Signal Process., 2017

Linear Convergence of An Iterative Phase Retrieval Algorithm with Data Reuse.
CoRR, 2017

On the Outage Probability Conjecture for MIMO Channels.
CoRR, 2017

Linearized ADMM for Non-convex Non-smooth Optimization with Convergence Analysis.
CoRR, 2017

Sparse subspace clustering using square-root penalty.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Distance-preserving property of random projection for subspaces.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Principal angles preserving property of Gaussian random projection for subspaces.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Square-Root Lasso With Nonconvex Regularization: An ADMM Approach.
IEEE Signal Process. Lett., 2016

Local measurement and reconstruction for noisy bandlimited graph signals.
Signal Process., 2016

Robust Transmit Beamforming for Parameter Estimation Using Distributed Sensors.
IEEE Commun. Lett., 2016

Cross Validation in Compressive Sensing and its Application of OMP-CV Algorithm.
CoRR, 2016

Performance estimation of sparse signal recovery under Bernoulli random projection with oracle information.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Graph-based reconstruction of time-varying spatial signals.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

More exercises, higher score: A case study by using online teaching assistant system.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Out-of-label suppression dictionary learning with cluster regularization.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Disciplined convex-concave programming.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Parameter Estimation From Quantized Observations in Multiplicative Noise Environments.
IEEE Trans. Signal Process., 2015

Local-Set-Based Graph Signal Reconstruction.
IEEE Trans. Signal Process., 2015

Block-Sparsity-Induced Adaptive Filter for Multi-Clustering System Identification.
IEEE Trans. Signal Process., 2015

Robustness of Sparse Recovery via F-Minimization: A Topological Viewpoint.
IEEE Trans. Inf. Theory, 2015

Restricted Isometry Property of Subspace Projection Matrix Under Random Compression.
IEEE Signal Process. Lett., 2015

On the Null Space Constant for ℓ<sub>p</sub> Minimization.
IEEE Signal Process. Lett., 2015

A Distributed Tracking Algorithm for Reconstruction of Graph Signals.
IEEE J. Sel. Top. Signal Process., 2015

CAR: Coding-Aware Opportunistic Routing for Unicast Traffic in Wireless Mesh Networks.
J. Netw. Syst. Manag., 2015

Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints.
CoRR, 2015

Local Measurement and Reconstruction for Noisy Graph Signals.
CoRR, 2015

Dynamic zero-point attracting projection for time-varying sparse signal recovery.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Subspace projection matrix completion on Grassmann manifold.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Downsampling for sparse subspace clustering.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Averaging random projection: A fast online solution for large-scale constrained stochastic optimization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Local and global optimality of LP minimization for sparse recovery.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Generalized graph signal sampling and reconstruction.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Anti-sparse representation for continuous function by dual atomic norm with application in OFDM.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Optimizing spectral diversity for graph signal coarsening.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Fast sparse recovery via non-convex optimization.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Phase retrieval using iterative projections: Dynamics in the large systems limit.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Maximum Likelihood Estimation From Sign Measurements With Sensing Matrix Perturbation.
IEEE Trans. Signal Process., 2014

The Convergence Guarantees of a Non-Convex Approach for Sparse Recovery.
IEEE Trans. Signal Process., 2014

Defense against sybil attacks in directed social networks.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Robust sparse recovery via non-convex optimization.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Robust recovery of low-rank matrices via non-convex optimization.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

On the theoretical analysis of cross validation in compressive sensing.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sparse constraint affine projection algorithm with parallel implementation and application in compressive sensing.
Proceedings of the IEEE International Conference on Acoustics, 2014

Robust off-grid recovery from compressed measurements.
Proceedings of the IEEE International Conference on Acoustics, 2014

Coarsening graph signal with spectral invariance.
Proceedings of the IEEE International Conference on Acoustics, 2014

Learning distributed jointly sparse systems by collaborative LMS.
Proceedings of the IEEE International Conference on Acoustics, 2014

The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares.
Proceedings of the IEEE International Conference on Acoustics, 2014

Iterative reconstruction of graph signal in low-frequency subspace.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Compressed subspace clustering: A case study.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Graph signal coarsening: Dimensionality reduction in irregular domain.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation.
IEEE Trans. Signal Process., 2013

Perturbation Analysis of Orthogonal Matching Pursuit.
IEEE Trans. Signal Process., 2013

Oracle-Order Recovery Performance of Greedy Pursuits With Replacement Against General Perturbations.
IEEE Trans. Signal Process., 2013

Edge Balance Ratio: Power Law From Vertices to Edges in Directed Complex Network.
IEEE J. Sel. Top. Signal Process., 2013

Robust zero-point attraction least mean square algorithm on near sparse system identification.
IET Signal Process., 2013

Combined power control and link selection in deviceto-device enabled cellular systems.
IET Commun., 2013

l_0 Norm Constraint LMS Algorithm for Sparse System Identification
CoRR, 2013

A Robust Zero-point Attraction LMS Algorithm on Near Sparse System Identification
CoRR, 2013

Zero-point attracting projection algorithm for sequential compressive sensing
CoRR, 2013

Maximum Likelihood Estimation from Sign Measurements with Sensing Matrix Perturbation.
CoRR, 2013

Relation between exact and robust recovery for F-minimization: A topological viewpoint.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Adaptive speech enhancement using sparse prior information.
Proceedings of the IEEE International Conference on Acoustics, 2013

A greedy approach to Linear Prediction with sparse residuals.
Proceedings of the IEEE International Conference on Acoustics, 2013

Backtracking matching pursuit with supplement set of arbitrary size.
Proceedings of the IEEE International Conference on Acoustics, 2013

From least squares to sparse: A non-convex approach with guarantee.
Proceedings of the IEEE International Conference on Acoustics, 2013

On estimating the loss of signal-to-noise ratio in compressive sensing based systems.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012
Proof of Convergence and Performance Analysis for Sparse Recovery via Zero-Point Attracting Projection.
IEEE Trans. Signal Process., 2012

Performance Analysis of $l_0$ Norm Constraint Least Mean Square Algorithm.
IEEE Trans. Signal Process., 2012

Retrieval of sparse solutions of multiple-measurement vectors via zero-point attracting projection.
Signal Process., 2012

Zero-point attracting projection algorithm for sequential compressive sensing.
IEICE Electron. Express, 2012

Follow Whom? Chinese Users Have Different Choice
CoRR, 2012

On the Performance Bound of Sparse Estimation with Sensing Matrix Perturbation
CoRR, 2012

Retrieve Sparse Solution of Multiple-Measurement Vectors via Zero-point Attracting Projection
CoRR, 2012

Near-oracle Recovery Performance of Greedy Pursuits with Replacement against General Perturbations
CoRR, 2012

Performance analysis of Orthogonal Matching Pursuit under general perturbations.
Proceedings of the International Conference on Computing, Networking and Communications, 2012

Greedy pursuits: Stability of recovery performance against general perturbations.
Proceedings of the International Conference on Computing, Networking and Communications, 2012

Quantization reference voltage of the Modulated Wideband Converter.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Efficient recovery of block sparse signals via zero-point attracting projection.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Robustness of orthogonal matching pursuit for multiple measurement vectors in noisy scenario.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Performance of Orthogonal Matching Pursuit for Multiple Measurement Vectors
CoRR, 2011

A smart tracking-based jamming scheme for signals with periodic synchronization sequences.
Proceedings of the 2011 International Conference on Wireless Communications & Signal Processing, 2011

Dual-pricing policy for controller-side strategies in demand side management.
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011

A New Mechanism to Incorporate Network Coding Into TCP in Multi-radio Multi-channel Wireless Mesh Networks.
Proceedings of the Seventh International Conference on Mobile Ad-hoc and Sensor Networks, 2011

2010
A Stochastic Gradient Approach on Compressive Sensing Signal Reconstruction Based on Adaptive Filtering Framework.
IEEE J. Sel. Top. Signal Process., 2010

SAUR: A Service Aided UWB Routing for Wireless Mesh Networks.
Proceedings of IEEE International Conference on Communications, 2010

2009
l<sub>0</sub> Norm Constraint LMS Algorithm for Sparse System Identification.
IEEE Signal Process. Lett., 2009

Sparse LMS for system identification.
Proceedings of the IEEE International Conference on Acoustics, 2009

2006
Particle Filter Based Multi-Camera Integration for Face 3D-Pose Tracking.
Int. J. Wavelets Multiresolution Inf. Process., 2006

Detection of Roads in SAR Images using Particle Filter.
Proceedings of the International Conference on Image Processing, 2006

Parallel Nlms Filters with Stochastic Active Taps and Step-Sizes for Sparse System Identification.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Novel Color-Based Target Representation for Visual Object Tracking.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004
LMS algorithm with gradient descent filter length.
IEEE Signal Process. Lett., 2004

Superior step-size theorem and its application - Parallel variable step-size LMS filters algorithm.
Sci. China Ser. F Inf. Sci., 2004

Sufficient condition for tap-length gradient adaption of LMS algorithm.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Select eigenfaces for face recognition with one training sample per subject.
Proceedings of the 8th International Conference on Control, 2004

2003
Convergence analysis of a deficient-length LMS filter and optimal-length sequence to model exponential decay impulse response.
IEEE Signal Process. Lett., 2003

Optimal variable step-size LMS model and algorithm with independence assumption.
Sci. China Ser. F Inf. Sci., 2003


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