The ICA Central held by J-F. Cardoso contains data sets and algorithms provided by the researchers working in these fields. Furthermore, it contains a link to a mailing list by which you can reach many researchers working in these fields.
ICALAB contains Matlab implementations of many ICA algorithms and blind source separation algorithms based on second-order temporal statistics.
NEW! Advanced book "Handbook of Blind Source Separation, Independent Component Analysis and Applications", edited by P. Comon and J. Jutten, published by Academic Press, 2010. This handbook is intended as a reference for the researchers working in these fields. It contains up-to-date review chapters on different types of ICA and BSS methods as well as on many their extensions and applications.
"Independent Component Analysis: A Tutorial Introduction" by J.Stone, The MIT Press, 2004. A tutorial introduction to independent component analysis intended mainly for newcomers to the field.
"Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications" by A. Cichocki and S.-I. Amari, Wiley 2002. A handbook type book containing many ICA and BSS algorithms and approaches.
IEEE Transactions on Signal Processing
IEEE Transactions on Neural Networks
Journal of Machine Learning Research
Neural Processing Letters
Other conferences publishing papers on ICA and BSS include the IEEE Machine Learning
for Signal Processing (MLPS) workshops. The latest of them,
MLSP2010 was organized by us in Lapland.
Formerly the name of this workshop was Neural Networks for Signal Processing. Also
the signal processing conferences ICASSP and EUSIPCO, various neural networks
conferences and many smaller conferences contain papers on ICA and BSS.
The Computer Science and Engineering house where our department is located.