HST.582J | Spring 2007 | Graduate

Biomedical Signal and Image Processing

Lecture Notes



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