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Sparse separation: principles and tricks
Pearlmutter, Barak A.; Potluru, Vamsi K.
Blind separation of linearly mixed white Gaussian sources is impossible, due to rotational symmetry. For this reason, all blind separation algorithms are based on some assumption concerning the fashion in which the situation departs from that insoluble case. Here we discuss the assumption of sparseness and try to put various algorithms that make the sparseness assumption in a common framework. The main objective of this paper is to give some rough intuitions, and to provide suitable hooks into the literature.
Keyword(s): Sparse separation; principles; tricks; algorithm
Publication Date:
Type: Journal article
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Pearlmutter, Barak A. and Potluru, Vamsi K. (2003) Sparse separation: principles and tricks. Proceedings of SPIE, 5102. pp. 1-4. ISSN 0277-786X
Publisher(s): SPIE
File Format(s): other
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First Indexed: 2020-04-02 06:32:13 Last Updated: 2020-04-02 06:32:13