M.A.A. Arce

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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(More)
The present work shows, implementation of neural ICA algorithms with multiple inputs using VHDL Design in a Field Programmable Gate Array (FPGA). We designed an architecture modular using INFOMAX algorithm in order to add n inputs for audio signals. Some simulations results using VHDL are presented using music and voice recorded. The study of performance is(More)
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