DocumentCode :
2745233
Title :
DSP Implementation of Extended Infomax ICA Algorithm for Blind Source Separation
Author :
Oliva-Moreno, L.N. ; Moreno-Cadenas, J.A. ; Flores-Nava, L.M. ; Gomez-Castaneda, F.
Author_Institution :
Dept. of Electr. Eng., CINVESTAV-IPN, Mexico City
fYear :
2006
fDate :
6-8 Sept. 2006
Firstpage :
1
Lastpage :
4
Abstract :
In this paper we use a digital signal processing unit (DSP) to implement an extended Infomax independent component analysis (ICA) algorithm for blind source separation (BSS). In this work we are going to reproduce the performance of the net implementation as expected in Matlab. A first hardware implementation has been designed and the experimental results are presented. In the developed experiments we used recorded signals and then they were processed in the DSP unit in real-time. The performance comparison are made with 2times2 net
Keywords :
blind source separation; independent component analysis; mathematics computing; DSP implementation; Matlab; blind source separation; digital signal processing unit; extended Infomax ICA algorithm; independent component analysis; Blind source separation; Digital signal processing; Entropy; Independent component analysis; Mathematical model; Mutual information; Neural networks; Signal processing; Signal processing algorithms; Source separation; Digital Signal Processing (DSP) implementation; Extended Infomax; Independent Component Analysis (ICA); Neural Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineering, 2006 3rd International Conference on
Conference_Location :
Veracruz
Print_ISBN :
1-4244-0402-9
Electronic_ISBN :
1-4244-0403-7
Type :
conf
DOI :
10.1109/ICEEE.2006.251932
Filename :
4018017
Link To Document :
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