Blind Audio Source Separation Using Independent Component Analysis and Independent Vector Analysis

Independent component analysis and blind source separation

Independent Component Analysis and Blind Source Separation

Blind source separation and independent component analysis

This special issue of Neurocomputing contains a selection of eleven papers about blind source separation and independent component analysis. The papers represent improved and extended versions of contributed papers presented at the ICA 2004 meeting held in Granada, Spain. A total of 15 manuscripts have been suggested for the special issue by the referees of the contributions submitted to the co...

An Introduction to Independent Component Analysis and Blind Source Separation

1 ICA 2 1.1 Examples of linear mixtures of independent components . . . . . 2 1.2 Basic assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 ICA from Maximum Likelihood . . . . . . . . . . . . . . . . . . . 4 1.4 PCA and ICA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Minimal Mutual Information . . . . . . . . . . . . . . . . . . . . 6 1.6 Maximum Transmitte...

Handbook of Blind Source Separation� Independent Component Analysis and Applications

Glossary x vector of components x p , 1 ≤ p ≤ P s, x, y sources, observations, separator outputs N number of sources P number of sensors T number of observed samples convolution A matrix with components A ij A, B mixing and separation matrices G, W, Q global, whitening, and separating unitary matriceš g Fourier transform of g s estimate of quantity s p x probability density of x ψ joint score f...