Independent Component Analysis

author: Jean-François Cardoso, ENST Paris
published: Feb. 25, 2007,   recorded: August 2003,   views: 27320


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Part 1 34:29
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The course provides an introduction to independent component analysis and source separation. We start from simple statistical principles; examine connections to information theory and to sparse coding; we give an overview of available algorithmics; we also show how several key ideas of ICA are illuminated by information geometry.

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Reviews and comments:

Comment1 Xiaopei wu, September 21, 2007 at 3:49 p.m.:


Comment2 Dattatreya, December 30, 2010 at 8:47 a.m.:

Drop these videos as sound quality is too bad to comprehend what is he saying

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