Holdings: Blind source separation using spatial ambiguity functions.

Blind source separation using spatial ambiguity functions.

Blind source separation consists of recovering a set of signals of which only instantaneous linear mixtures are observed. This problem has been typically solved using statistical information available on source signals. Recently, we have introduced spatial time-frequency (t-f) distributions as a new...

Bibliographic Details
Main Authors:	Amin, Moeness G., Belouchrani, Adel.
Format:	Villanova Faculty Authorship
Language:	English
Published:	1998
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173192

Main Authors:

Amin, Moeness G., Belouchrani, Adel.

Format:

Villanova Faculty Authorship

Language:

English

Published:

1998

Online Access:

http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173192

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Blind source separation using spatial ambiguity functions.

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Blind source separation using spatial ambiguity functions.

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