Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
New approximations of differential entropy for independent component analysis and projection pursuit
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Independent component analysis: algorithms and applications
Neural Networks
On the Stability of Source Separation Algorithms
Journal of VLSI Signal Processing Systems
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
ICA using spacings estimates of entropy
The Journal of Machine Learning Research
Minimax mutual information approach for independent component analysis
Neural Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold
Neural Computation
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
Comparative speed analysis of fastICA
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
A blind source separation technique using second-order statistics
IEEE Transactions on Signal Processing
Nonorthogonal Joint Diagonalization Free of Degenerate Solution
IEEE Transactions on Signal Processing
Blind separation of mixture of independent sources through aquasi-maximum likelihood approach
IEEE Transactions on Signal Processing
Blind separation of instantaneous mixtures of nonstationary sources
IEEE Transactions on Signal Processing
Complex ICA Using Nonlinear Functions
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Independent component analysis based on nonparametric density estimation
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Nonorthogonal independent vector analysis using multivariate Gaussian model
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
One-unit second-order blind identification with reference for short transient signals
Information Sciences: an International Journal
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A novel (differential) entropy estimator is introduced where the maximum entropy bound is used to approximate the entropy given the observations, and is computed using a numerical procedure thus resulting in accurate estimates for the entropy. We show that such an estimator exists for a wide class of measuring functions, and provide a number of design examples to demonstrate its flexible nature. We then derive a novel independent component analysis (ICA) algorithm that uses the entropy estimate thus obtained, ICA by entropy bound minimization (ICA-EBM). The algorithm adopts a line search procedure, and initially uses updates that constrain the demixing matrix to be orthogonal for robust performance.We demonstrate the superior performance of ICA-EBM and its ability to match sources that come from a wide range of distributions using simulated and real-world data.