Introduction - If you have any usage issues, please Google them yourself
ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
Packet : 185313icamf.zip filelist
brain_images.mat
demo_mf.m
digits.mat
icaML.m
ica_adatap.m
ica_adatap_bic.m
speech.mat