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Blind signal separation
Additional recommended knowledge
Blind signal separation relies on the following assumption:
Blind signal separation thus separates a set of signals into a set of other signals, such that the regularity of each resulting signal is maximized, and the regularity between the signals is minimized (i.e. statistical independence is maximized).
Because temporal redundancies (statistical regularities in the time domain) are "clumped" in this way into the resulting signals, the resulting signals can be more effectively deconvolved than the original signals.
There are different methods of blind signal separation:
|This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Blind_signal_separation". A list of authors is available in Wikipedia.|