HST.582J | Spring 2007 | Graduate

Biomedical Signal and Image Processing

Lecture Notes

ch15_bss.pdf

Description:

Lecture notes on blind source separation, principal and independent component analysis, matrix transformations as filters, different methods for performing ICA, gradient descent to find the de-mixing matrix W, applications of ICA, and limitations of ICA.

Resource Type:
Lecture Notes