Abstract
This paper presents a novel technique for separating convolutive mixtures of statistically independent non-Gaussian signals. The time-domain convolution is transformed into several instantaneous mixtures in the frequency-domain. The separation of these mixtures is performed in two steps. First, the instantaneous mixture at the frequency of reference is solved using JADE and the other mixtures are then separated using the Mean Square Error (MSE) criterion. We also present a novel method to select the frequency of reference.
This work has been supported by Xunta de Galicia, Ministerio de Educación y Ciencia of Spain and FEDER funds of the European Union under grants number PGIDT06TIC10501PR and TEC2007-68020-C04-01.
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© 2009 Springer-Verlag Berlin Heidelberg
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Iglesia, D., Pérez-Iglesias, H.J., Dapena, A. (2009). A Cascade System for Solving Permutation and Gain Problems in Frequency-Domain BSS. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_35
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DOI: https://doi.org/10.1007/978-3-642-00599-2_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00598-5
Online ISBN: 978-3-642-00599-2
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