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Implementation of Infomax ICA Algorithm for Blind Source Separation

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3 Author(s)
L. Noe Oliva Moreno ; Escuela Super. de Comput., Inst. Politec. Nac., Mexico City ; Miguel A. Alemán Arce ; Jair García Lamont

In this paper, is use a field programmable gate array (FPGA) to implement an information-maximization (Infomax) algorithm to blind source separation (BSS). In this work, we show the neural network architecture for several inputs and the performance of its hardware implementation. We achieve simulations results similar as estimated in MATLAB. Some simulations results using VHDL are presented using music and voice recorded. The study of performance is made in a net of 2 times 2.

Published in:

Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08

Date of Conference:

Sept. 30 2008-Oct. 3 2008