New software for ICA and BSS

[Andrzej CICHOCKI]

[Our sincere apologies if you receive multiple copies of this email]

We would like to announce availability of  software packages  
called ICALAB   for ICA (Independent Component Analysis),
BSS  (Blind Sources Separation)
and BSE  (Blind Signal Extraction).

ICALAB for Signal Processing and ICALAB for Image Processing are two 
independent  packages for MATLAB that implement a number of efficient 
algorithms for ICA  employing HOS (higher order statistics), BSS  
employing SOS (second order statistics) and LTP (linear temporal 
prediction), and  BSE  employing various SOS and HOS methods.

After some data preprocessing, these packages can also be used also for 
MICA (multidimensional independent component analysis) and NIBSS (non 
independent blind source separation).

The main features of both packages are an easy-to-use graphical user
interface, and implementation of computationally powerful and
efficient algorithms .

Some implemented algorithms are robust with respect to additive white noise.

The packages are available on  our web pages:

http://www.bsp.brain.riken.go.jp/ICALAB/

Any critical comments and suggestions are welcomed.

Best regards,

Andrzej Cichocki