Abstract
The aim of the present paper is to propose a new algorithm for the estimation of the ICA model, an algorithm based on Cebysev method. The first sections briefly present the standard FastICA algorithm based on the Newton method and a new version of the FastICA algorithm. The proposed algorithm to estimate the independent components use a superior order method as Cebysev coefficients technique. The final section presents the results of a comparative analysis experimentally derived conclusions concerning the performance of the proposed method. The tests were performed for signals source separation purposes.
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Constantin, D. (2009). Cebysev Coefficients – Based Algorithm for Estimating the ICA Model. 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_28
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DOI: https://doi.org/10.1007/978-3-642-00599-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00598-5
Online ISBN: 978-3-642-00599-2
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