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