Independent component analysis: a low-complexity technique

Authors:
Rubén Martín-Clemente;Susana Hornillo-Mellado;José Luis Camargo-Olivares
Affiliations:
Departamento de Teoría de la Señal y Comunicaciones, Escuela S. de Ingenieros, University of Seville, Spain Seville, Spain;Departamento de Teoría de la Señal y Comunicaciones, Escuela S. de Ingenieros, University of Seville, Spain Seville, Spain;Departamento de Teoría de la Señal y Comunicaciones, Escuela S. de Ingenieros, University of Seville, Spain Seville, Spain
Venue:
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Year:
2011

Citing 3
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Abstract

This paper presents a new algorithm to solve the Independent Component Analysis (ICA) problem that has a very low computational complexity. The most remarkable feature of the proposed algorithm is that it does not need to compute higher-order statistics (HOS). In fact, the algorithm is based on trying to guess the sign of the independent components, after which it approximates the rest of the values.