Natural gradient works efficiently in learning
Neural Computation
A Spurious Equilibria-free Learning Algorithm for the BlindSeparation of Non-zoer Skewness Signals
Neural Processing Letters
High-order contrasts for independent component analysis
Neural Computation
Neural Computation
Statistical learning by natural gradient descent
New learning paradigms in soft computing
Complex-Weighted One-Unit ‘Rigid-Bodies’ Learning Rule for Independent Component Analysis
Neural Processing Letters
On the Stability of Source Separation Algorithms
Journal of VLSI Signal Processing Systems
Flexible Independent Component Analysis
Journal of VLSI Signal Processing Systems
Gradient Adaptive Algorithms for Contrast-Based Blind Deconvolution
Journal of VLSI Signal Processing Systems
Blind Source Separation and Equiprobabilistic Topographic Maps
Journal of VLSI Signal Processing Systems
Modeling MPEG Coded Video Traffic by Markov-Modulated Self-Similar Processes
Journal of VLSI Signal Processing Systems
Contravariant adaptation on structured matrix spaces
Signal Processing
Blind separation methods based on Pearson system and its extensions
Signal Processing
On-line learning in changing environments with applications in supervised and unsupervised learning
Neural Networks - Computational models of neuromodulation
Equivariant nonstationary source separation
Neural Networks
Estimating Overcomplete Independent Component Bases for Image Windows
Journal of Mathematical Imaging and Vision
Fast adaptive eigenvalue decomposition: a maximum likelihood approach
Signal Processing
Blind Source Separation Using Principal Component Neural Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Separating Convolutive Mixtures by Mutual Information Minimization
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Kernel-based topographic map formation achieved with an information-theoretic approach
Neural Networks - New developments in self-organizing maps
Speech Communication - Special issue on speech processing for hearing aids
Modular neural architectures for robotics
Biologically inspired robot behavior engineering
Blind source separation in frequency domain
Signal Processing
A multiscale framework for blind separation of linearly mixed signals
The Journal of Machine Learning Research
Statistical dynamics of on-line independent component analysis
The Journal of Machine Learning Research
Blind source recovery: a framework in the state space
The Journal of Machine Learning Research
Three easy ways for separating nonlinear mixtures?
Signal Processing - Special issue on independent components analysis and beyond
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior
Journal of VLSI Signal Processing Systems
Independent Component Analysis by Using Joint Cumulants and its Application to Remote Sensing Images
Journal of VLSI Signal Processing Systems
Weather Data Mining Using Independent Component Analysis
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Adaptive blind separation with an unknown number of sources
Neural Computation
Blind separation of positive sources by globally convergent gradient search
Neural Computation
Blind source separation using block-coordinate relative Newton method
Signal Processing
Neural learning by geometric integration of reduced 'rigid-body' equations
Journal of Computational and Applied Mathematics
A multiscale framework for blind separation of linearly mixed signals
The Journal of Machine Learning Research
Statistical dynamics of on-line independent component analysis
The Journal of Machine Learning Research
Blind source recovery: a framework in the state space
The Journal of Machine Learning Research
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
Source separation in astrophysical maps using independent factor analysis
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
A unifying model for blind separation of independent sources
Signal Processing
Blind source separation using order statistics
Signal Processing
An Adaptive Method for Subband Decomposition ICA
Neural Computation
Topographic Independent Component Analysis
Neural Computation
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold
Neural Computation
Complexity Pursuit: Separating Interesting Components from Time Series
Neural Computation
A Constrained EM Algorithm for Independent Component Analysis
Neural Computation
Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation
Neural Computation
Natural Gradient Learning for Over-and Under-Complete Bases in ICA
Neural Computation
Blind source separation of more sources than mixtures using sparse mixture models
Pattern Recognition Letters
An analysis of entropy estimators for blind source separation
Signal Processing
Signal Processing - Special issue: Information theoretic signal processing
Signal Processing - Special issue: Information theoretic signal processing
An information theoretic approach to a novel nonlinear independent component analysis paradigm
Signal Processing - Special issue: Information theoretic signal processing
Robust Prewhitening for ICA by Minimizing β-Divergence and Its Application to FastICA
Neural Processing Letters
Linear multilayer ICA generating hierarchical edge detectors
Neural Computation
A Linear Non-Gaussian Acyclic Model for Causal Discovery
The Journal of Machine Learning Research
EURASIP Journal on Applied Signal Processing
Blind I/Q signal separation-based solutions for receiver signal processing
EURASIP Journal on Applied Signal Processing
Blind deconvolution in nonminimum phase systems using cascade structure
EURASIP Journal on Applied Signal Processing
Near---Far Resistant ICA based Detector for DS-CDMA Systems in the Downlink
Wireless Personal Communications: An International Journal
Finite sample effects of the fast ICA algorithm
Neurocomputing
Integration of independent component analysis and neural networks for ECG beat classification
Expert Systems with Applications: An International Journal
Complex-valued ICA based on a pair of generalized covariance matrices
Computational Statistics & Data Analysis
Complex-valued adaptive signal processing using nonlinear functions
EURASIP Journal on Advances in Signal Processing
Extraction of Approximate Independent Components from Large Natural Scenes
Neural Information Processing
Analysis of the Kurtosis-Sum Objective Function for ICA
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Fast communication: An optimized EASI algorithm
Signal Processing
Selection of significant independent components for ECG beat classification
Expert Systems with Applications: An International Journal
A fixed-point algorithm for blind source separation with nonlinear autocorrelation
Journal of Computational and Applied Mathematics
Lie-group-type neural system learning by manifold retractions
Neural Networks
Complex ICA using generalized uncorrelating transform
Signal Processing
Adaptive improved natural gradient algorithm for blind source separation
Neural Computation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Blind source separation with nonlinear autocorrelation and non-Gaussianity
Journal of Computational and Applied Mathematics
Fast nonlinear autocorrelation algorithm for source separation
Pattern Recognition
Multichannel Blind Deconvolution Using the Conjugate Gradient
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Detection and separation in space time block coding using noisy compound PCA - ICA model
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Blind source separation based on cumulants with time and frequency non-properties
IEEE Transactions on Audio, Speech, and Language Processing
The generalized eigendecomposition approach to the blind source separation problem
Digital Signal Processing
Learning averages over the lie group of unitary matrices
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Autoregressive model of the hippocampal representation of events
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Controlled complete ARMA independent process analysis
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Maximum likelihood blind image separation using nonsymmetrical half-plane Markov random fields
IEEE Transactions on Image Processing
An algorithm to compute averages on matrix Lie groups
IEEE Transactions on Signal Processing
Compensation of IQ imbalance based on a simplified blind source separation method
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Performance analysis of the fastica algorithm in ICA-based co-channel communication system
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Robust nonlinear power iteration algorithm for adaptive blind separation of independent signals
Digital Signal Processing
Letters: A fast fixed-point algorithm for complexity pursuit
Neurocomputing
Unsupervised learning with stochastic gradient
Neurocomputing
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Independent component analysis minimizing convex divergence
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Resolution enhancement in ΣΔ learners for superresolution source separation
IEEE Transactions on Signal Processing
The deflation-based FastICA estimator: statistical analysis revisited
IEEE Transactions on Signal Processing
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Speed and accuracy enhancement of linear ICA techniques using rational nonlinear functions
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Global and local preserving feature extraction for image categorization
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
An offline independent component analysis algorithm for colored sources
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Blind sources separation algorithm based on adaptive givens rotations
ICNC'09 Proceedings of the 5th international conference on Natural computation
Research of blind images separation algorithm based on Kernel space
ICNC'09 Proceedings of the 5th international conference on Natural computation
Source extraction by maximizing the variance in the conditional distribution tails
IEEE Transactions on Signal Processing
Blind separation of mutually correlated sources using precoders
IEEE Transactions on Neural Networks
An improved natural gradient algorithm for blind source separation
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
The Journal of Machine Learning Research
Real-time independent vector analysis for convolutive blind source separation
IEEE Transactions on Circuits and Systems Part I: Regular Papers
IEEE Transactions on Signal Processing
Detailed characterization of transceiver parameters through loop-back-based BiST
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Algorithms for complex ML ICA and their stability analysis using wirtinger calculus
IEEE Transactions on Signal Processing
Strong sub-and super-gaussianity
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Estimating source kurtosis directly from observation data for ICA
Signal Processing
Blind Source Separation Using Quadratic form Innovation
Neural Processing Letters
Stability analysis of multichannel blind deconvolution
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
A bayesian approach to blind separation of mixed discrete sources by gibbs sampling
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
Inferring parameters and structure of latent variable models by variational bayes
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Nonlinear adaptive blind source separation based on kernel function
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
A new multi-view learning algorithm based on ICA feature for image retrieval
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
A fixed-point algorithm of topographic ICA
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
An efficient independent component analysis algorithm for sub-gaussian sources
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Non orthogonal component analysis: application to anomaly detection
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
An EM method for spatio-temporal blind source separation using an AR-MOG source model
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Sparse coding for convolutive blind audio source separation
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
A one-bit-matching learning algorithm for independent component analysis
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Blind signal separation on real data: tracking and implementation
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Kernel independent component analysis for gene expression data clustering
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Utilization of blind source separation algorithms for MIMO linear precoding
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Blind deconvolution with sparse priors on the deconvolution filters
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Instantaneous MISO separation of BPSK sources
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Testing significance of mixing and demixing coefficients in ICA
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
The infomin principle for ICA and topographic mappings
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
An ICA learning algorithm utilizing geodesic approach
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
An extended online Fast-ICA algorithm
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
An novel algorithm for blind source separation with unknown sources number
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Identification of mixing matrix in blind source separation
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
An effective method to improve convergence for sequential blind source separation
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Blind detection of orthogonal space-time block coding based on ICA schemes
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Independent component analysis based on first-order statistics
Signal Processing
Joint block diagonalization algorithms for optimal separation of multidimensional components
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Hybrid linear and nonlinear complexity pursuit for blind source separation
Journal of Computational and Applied Mathematics
Foetal ECG recovery using dynamic neural networks
Artificial Intelligence in Medicine
CUDAICA: GPU optimization of infomax-ICA EEG analysis
Computational Intelligence and Neuroscience - Special issue on Advanced Computational Techniques and Tools for Neuroscience
Adaptive weighted orthogonal constrained algorithm for blind source separation
Digital Signal Processing
Blind separation of non-stationary sources using continuous density hidden Markov models
Digital Signal Processing
Noisy Blind Signal-jamming Separation Algorithm Based on VBICA
Wireless Personal Communications: An International Journal
On the convergence of ICA algorithms with weighted orthogonal constraint
Digital Signal Processing
| Hi-index | 35.71 |
Source separation consists of recovering a set of independent signals when only mixtures with unknown coefficients are observed. This paper introduces a class of adaptive algorithms for source separation that implements an adaptive version of equivariant estimation and is henceforth called equivariant adaptive separation via independence (EASI). The EASI algorithms are based on the idea of serial updating. This specific form of matrix updates systematically yields algorithms with a simple structure for both real and complex mixtures. Most importantly, the performance of an EASI algorithm does not depend on the mixing matrix. In particular, convergence rates, stability conditions, and interference rejection levels depend only on the (normalized) distributions of the source signals. Closed-form expressions of these quantities are given via an asymptotic performance analysis. The theme of equivariance is stressed throughout the paper. The source separation problem has an underlying multiplicative structure. The parameter space forms a (matrix) multiplicative group. We explore the (favorable) consequences of this fact on implementation, performance, and optimization of EASI algorithms