Stability analysis of learning algorithms for blind source separation

Natural gradient works efficiently in learning

Neural Computation

Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources

Neural Computation

Blind separation of a mixture of uniformly distributed source signals: a novel approach

Neural Computation

Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence

On the Stability of Source Separation Algorithms

Journal of VLSI Signal Processing Systems

Flexible Independent Component Analysis

Journal of VLSI Signal Processing Systems

Modeling MPEG Coded Video Traffic by Markov-Modulated Self-Similar Processes

Journal of VLSI Signal Processing Systems

Equivariant nonstationary source separation

Neural Networks

Separation of independent components from data mixed by several mixing matrices

Signal Processing - Signal processing with heavy-tailed models

Robust blind source separation by beta divergence

Neural Computation

Blind Source Separation Using Principal Component Neural Networks

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Adaptive Differential Decorrelation: A Natural Gradient Algorithm

ICANN '02 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

Factorial Code Representation of Faces for Recognition

BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision

Blind Source Separation in the Frequency Domain: A Novel Solution to the Amplitude and the Permutation Indeterminacies

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II

Neural independent component analysis by 'maximum-mismatch' learning principle

Neural Networks

Blind source recovery: a framework in the state space

The Journal of Machine Learning Research

Adaptive blind separation with an unknown number of sources

Neural Computation

Blind source recovery: a framework in the state space

The Journal of Machine Learning Research

Linear State Space Feedforward and Feedback Structures for Blind Source Recovery in Dynamic Environments

Neural Processing Letters

A Generalized Contrast Function and Stability Analysis for Overdetermined Blind Separation of Instantaneous Mixtures

Neural Computation

Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model

Neural Computation

One-Bit-Matching Conjecture for Independent Component Analysis

Neural Computation

Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures

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

Differential learning algorithms for decorrelation and independent component analysis

Neural Networks

Estimating Functions of Independent Component Analysis for Temporally Correlated Signals

Neural Computation

One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics

Neural Computation

Simple, Robust, and Memory-Efficient FastICA Algorithms Using the Huber M-Estimator Cost Function

Journal of VLSI Signal Processing Systems

Blind deconvolution in nonminimum phase systems using cascade structure

EURASIP Journal on Applied Signal Processing

Blind sparse source separation using cluster particle swarm optimization technique

AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications

Fast communication: Stability analysis of natural gradient learning rules in overdetermined ICA

Signal Processing

A robust blind sparse source separation algorithm using genetic algorithm to identify mixing matrix

SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications

A feature-selective independent component analysis method for functional MRI

Journal of Biomedical Imaging

Independent Component Analysis for Time-dependent Processes Using AR Source Model

Neural Processing Letters

Blind separation with unknown number of sources based on auto-trimmed neural network

Neurocomputing

Complex-valued adaptive signal processing using nonlinear functions

EURASIP Journal on Advances in Signal 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

Adaptive improved natural gradient algorithm for blind source separation

Neural Computation

Blind source separation with dynamic source number using adaptive neural algorithm

Expert Systems with Applications: An International Journal

A Distortion-Free Learning Algorithm for Feedforward Multi-Channel Blind Source Separation

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures

ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation

A robust blind sparse source separation algorithm using genetic algorithm to identify mixing matrix

SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications

Differential ICA

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Analysis and comparative study of source separation performances in feed-forward and feed-back BSSs based on propagation delays in convolutive mixture

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Fast communication: Normalized natural gradient in independent component analysis

Signal Processing

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

Sequential extraction algorithm for BSS without error accumulation

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II

Stability analysis of multichannel blind deconvolution

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II

One-Bit-Matching ICA theorem, convex-concave programming, and combinatorial optimization

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I

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

Local stability analysis of maximum nongaussianity estimation in independent component analysis

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Global convergence of FastICA: theoretical analysis and practical considerations

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I