Citation Impact
Citing Papers
A general regression neural network
1991 Standout
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
2017 StandoutNature
Stability Analysis of Learning Algorithms for Blind Source Separation
1997
Orthogonal least squares learning algorithm for radial basis function networks
1991 Standout
Automatic Real-time Anomaly Detection for Autonomous Aerial Vehicles
2019
RFID research: An academic literature review (1995–2005) and future research directions
2007 Standout
Atomic-beam cooling: A simulation approach
1986 StandoutNobel
A Survey of COVID-19 Contact Tracing Apps
2020 Standout
Blind Equalization and Carrier Recovery Using a "Stop-and-Go" Decision-Directed Algorithm
1987
Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations
1997 Standout
Simplified analysis of the LMS adaptive filter using a transfer function approximation
1987
A multistep size (MSS) frequency domain adaptive filter
1991
Wireless channel equalisation
1998
A review on machinery diagnostics and prognostics implementing condition-based maintenance
2005 Standout
Reweighted Infrared Patch-Tensor Model With Both Nonlocal and Local Priors for Single-Frame Small Target Detection
2017 Standout
A soft decision-directed LMS algorithm for blind equalization
1993 StandoutNobel
Applications of a Kushner and Clark lemma to general classes of stochastic algorithms
1984
Principal component analysis and blind source separation of modulated sources for electro-mechanical systems diagnostic
2005
Multi-tag radio-frequency identification systems based on new blind source separation neural networks
2002
Adaptive linear procedures under general conditions
1984
An Alternative Perspective on Adaptive Independent Component Analysis Algorithms
1998
A sound based method for fault detection with statistical feature extraction in UAV motors
2021 Standout
Blind beamforming for non-gaussian signals
1993 Standout
Analysis and design of a signed regressor LMS algorithm for stationary and nonstationary adaptive filtering with correlated Gaussian data
1990
Signature Analysis for Reciprocating Machinery with Adaptive Signal Processing
1991
Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm
2009
Removing electroencephalographic artifacts by blind source separation
2000 Standout
Improving Wireless Physical Layer Security via Cooperating Relays
2009 Standout
Fast, recursive-least-squares transversal filters for adaptive filtering
1984
Frequency domain equalization for single-carrier broadband wireless systems
2002 Standout
Fractionally-Spaced Equalization: An Improved Digital Transversal Equalizer
1981
Applications of neural networks to digital communications – a survey
2000
Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior
2013
Nuisance Parameters and Location Accuracy in Log-Normal Fading Models
2007
Model-free control of nonlinear stochastic systems with discrete-time measurements
1998
Fading channels: information-theoretic and communications aspects
1998 Standout
Adaptive stochastic approximation by the simultaneous perturbation method
2000
Likelihood and nearest-neighbor distance properties of multidimensional Poisson cluster processes
1981
A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
2013 Standout
Adaptive equalization
1982
An Introduction to Random Matrices
2009 Standout
Determinantal Processes and Independence
2006
Blind source separation of noisy harmonic signals for rotating machine diagnosis
2003
The limiting behavior of LMS
1989
Waveform Design and Signal Processing Aspects for Fusion of Wireless Communications and Radar Sensing
2011 Standout
Statistical pattern recognition: a review
2000 Standout
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Blind adaptive multiuser detection
1995 Standout
Linear stochastic approximation driven by slowly varying Markov chains
2003
Underwater Optical Wireless Communication
2016 Standout
Stochastic convergence properties of the adaptive gradient lattice
1984
Blind source separation: A new pre-processing tool for rotating machines monitoring?
2003
The Bootstrap Widrow-Hoff Rule as a Cluster-Formation Algorithm
1990 StandoutNobel
Photon Counting Probabilities in Quantum Optics
1981
A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation
2017
An Introduction to Deep Learning for the Physical Layer
2017 Standout
Design of adaptive algorithms for the tracking of time‐varying systems
1987 Standout
From model-based control to data-driven control: Survey, classification and perspective
2012 Standout
A nonparametric estimation of the entropy for absolutely continuous distributions (Corresp.)
1976
USING THE MUTUAL INFORMATION COEFFICIENT TO IDENTIFY LAGS IN NONLINEAR MODELS
1994 StandoutNobel
Adaptation and tracking in system identification—A survey
1990
On the convergence behavior of the LMS and the normalized LMS algorithms
1993
Blind signal separation: statistical principles
1998
A variable step size LMS algorithm
1992
Maximum Likelihood Estimation of Misspecified Models
1983 Standout
The two-dimensional adaptive LMS (TDLMS) algorithm
1988
Statistical Models for Earthquake Occurrences and Residual Analysis for Point Processes
1988 Standout
Scoring probability forecasts for point processes: the entropy score and information gain
2004
New criteria for blind deconvolution of nonminimum phase systems (channels)
1990
Performance measurement in blind audio source separation
2006 Standout
The state of the art in underwater acoustic telemetry
2000
Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications
1992 Standout
Independent component analysis, A new concept?
1994 Standout
Synchronous data flow
1987 Standout
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
2016 Standout
The Tap-Leakage Algorithm: An Algorithm for the Stable Operation of a Digitally Implemented, Fractionally Spaced Adaptive Equalizer
1982
The error variance of LMS with time-varying weights
1992
Modern Statistics for Spatial Point Processes*
2007
Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm
2018 Standout
Strictly Proper Scoring Rules, Prediction, and Estimation
2007 Standout
A fast exact least mean square adaptive algorithm
1992
An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
2011 Standout
Underwater acoustic sensor networks: research challenges
2005 Standout
On the statistical efficiency of the LMS algorithm with nonstationary inputs
1984
Gaussian Limit for Determinantal Random Point Fields
2002
Actor-critic algorithms
2002 Standout
Works of Odile Macchi being referenced
A linear adaptive neural network for extraction of independent components
1997
Quadratic mean and almost-sure convergence of unbounded stochastic approximation algorithms with correlated observations
1983
Reply to "Comments on 'self-adaptive source separation, part I: convergence analysis of a direct linear network controled by the Herault-Jutten algorithm"
2000
Adaptive Processing: The Least Mean Squares Approach with Applications in Transmission
1995
Tracking error bounds of adaptive nonstationary filtering
1985
Optimization of adaptive identification for time-varying filters
1986
HIGH-ORDER CONTRASTS FOR SELF-ADAPTIVE SOURCE SEPARATION
1996
Adaptive decision feedback equalization: can you skip the training period?
1998
The coincidence approach to stochastic point processes
1975
Un nouvel égaliseur: L’égaliseur a double échantillonnage
1975
Self-adaptive source separation .I. Convergence analysis of a direct linear network controlled by the Herault-Jutten algorithm
1997
Estimation and detection of weak optical signals
1972
The coincidence approach to stochastic point processes
1975
Self-adaptive source separation. II. Comparison of the direct, feedback, and mixed linear network
1998
Convergence of the RLS and LMS adaptive filters
1987
Second-order convergence analysis of stochastic adaptive linear filtering
1983
Le filtrage adaptatif en télécommunications
1981
Convergence analysis of self-adaptive equalizers
1984
Convergence of an adaptive linear estimation algorithm
1984
Soft-constrained LMS algorithms for decoder stability in backward adaptive predictive systems
1993
A unified framework for gradient algorithms used for filter adaptation and neural network training
1992
Tracking capability of the least mean square algorithm: Application to an asynchronous echo canceller
1987
Adaptive recovery of a chirped sinusoid in noise. II. Performance of the LMS algorithm
1991