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Delayed AMUSE - A tool for blind source separation and denoising

Teixeira, A. and Tomé, A. M. and Lang, Elmar and Stadlthanner, K. (2004) Delayed AMUSE - A tool for blind source separation and denoising. In: Puntonet, Carlos G., (ed.) Independent component analysis and blind signal separation: fifth international conference, ICA 2004, Granada, Spain, September 22 - 24, 2004; proceedings. Lecture notes in computer science, 3195. Springer, pp. 287-294. ISBN 3-540-23056-4, 978-3-540-23056-4.

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Other URL: http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-164-12-72397-0,00.html

Abstract

In this work we propose a generalized eigendecomposition (GEVD) of a matrix pencil computed after embedding the data into a high-dim feature space of delayed coordinates. The matrix pencil is computed like in AMUSE but in the feature space of delayed coordinates. Its GEVD yields filtered versions of the source signals as output signals. The algorithm is implemented in two EVD steps. Numerical simulations study the influence of the number of delays and the noise level on the performance.

Item Type:

Book Section

Institutions:

Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang

Projects:

BMBF Projekt ModKog

Identification Number: