Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/92567
Type: Artigo de evento
Title: An Analysis Of Unsupervised Signal Processing Methods In The Context Of Correlated Sources
Author: Neves A.
Wada C.
Suyama R.
Attux R.
Romano J.M.T.
Abstract: In light of the recently proposed generalized correlation function named correntropy, which exploits higher-order statistics and the time structure of signals, we have, in this work, two main objectives: 1) to give a new interpretation - founded on the relationships between the constant modulus (CM) and Shalvi-Weinstein criteria and between the latter and methods for ICA based on nongaussianity - to the performance of the constant modulus approach under dependent sources and 2) to analyze the correntropy in the context of blind deconvolution of i.i.d. and dependent sources, as well as to establish elements of a comparison between it and the CMA. The analyses and simulation results unveil some theoretical aspects hitherto unexplored. © Springer-Verlag Berlin Heidelberg 2009.
Editor: 
Rights: fechado
Identifier DOI: 10.1007/978-3-642-00599-2_11
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-67149139418&partnerID=40&md5=be962c2d075b4a32432e75515b1c536d
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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