Pearlmutter, Barak A. and Potluru, Vamsi K. (2003) Sparse separation: principles and tricks. Proceedings of SPIE, 5102. pp. 1-4. ISSN 0277-786X

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Abstract

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.

Item Type:	Article
Additional Information:	Citation: Barak A. Pearlmutter and Vamsi K. Potluru "Sparse separation: principles and tricks", Proc. SPIE 5102, Independent Component Analyses, Wavelets, and Neural Networks, 1 (April 4, 2003); doi:10.1117/12.502473; http://dx.doi.org/10.1117/12.502473
Keywords:	Sparse separation; principles; tricks; algorithm;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	8138
Identification Number:	https://doi.org/10.1117/12.502473
Depositing User:	Barak Pearlmutter
Date Deposited:	10 Apr 2017 12:25
Journal or Publication Title:	Proceedings of SPIE
Publisher:	SPIE
Refereed:	Yes
URI:	http://proceedings.spiedigitallibrary.or...
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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