| Blind Signal Separation |
Article Index for Blind |
Website Links For Blind |
Information AboutBlind Signal Separation |
| CATEGORIES ABOUT BLIND SIGNAL SEPARATION | |
| statistical mechanics | |
| signal processing | |
| singular value decomposition | |
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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 or decorrelation is minimized). Because these 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:
EXTERNAL LINKS See also: Deconvolution , Infomax Principle , Adaptive Filtering |
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