DocumentCode :
2811414
Title :
An Algorithm for Estimating the ICA Model Based on the Cebysev Coefficients
Author :
Constantin, Doru ; State, Luminita
Author_Institution :
Dept. of Comput. Sci., Univ. of Pitesti, Pitesti
fYear :
2008
fDate :
25-31 Aug. 2008
Firstpage :
450
Lastpage :
455
Abstract :
The reported work proposes 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.
Keywords :
Chebyshev approximation; Newton method; independent component analysis; Cebysev coefficients; FastICA algorithm; ICA model; Newton method; signal source separation; Application software; Computer science; Equations; Independent component analysis; Multidimensional signal processing; Newton method; Performance analysis; Principal component analysis; Signal processing algorithms; Transforms; Blind Source Separation; Independent Component Analysis; Numerical Methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Technologies and Applications, 2008. SENSORCOMM '08. Second International Conference on
Conference_Location :
Cap Esterel
Print_ISBN :
978-0-7695-3330-8
Electronic_ISBN :
978-0-7695-3330-8
Type :
conf
DOI :
10.1109/SENSORCOMM.2008.132
Filename :
4622702
Link To Document :
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