Fast independent component analysis using a new property

Authors:
Rubén Martín-Clemente;Susana Hornillo-Mellado;José Luis Camargo-Olivares
Affiliations:
Departamento de Teoría de la Señal y Comunicaciones, University of Seville, Spain;Departamento de Teoría de la Señal y Comunicaciones, University of Seville, Spain;Departamento de Teoría de la Señal y Comunicaciones, University of Seville, Spain
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Year:
2011

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Abstract

In this paper we present a new theoretical characterization of the solutions to the Independent Component Analysis (ICA) problem. As an application, we also propose an algorithm that is directly based on that theoretical characterization. The algorithm has a very low computational complexity, and the experiments show that it is fast and reliable.