Implementation of Infomax ICA Algorithm for Blind Source Separation

被引：0

作者：

Oliva Moreno, L. Noe ^{[1
]}

Aleman Arce, Miguel A. ^{[1
]}

Garcia Lamont, Jair ^{[2
]}

机构：

[1] Inst Politecn Nacl, Escuela Super Comp, Mexico City 07738, DF, Mexico

[2] Univ Autonoma Estado Hidalgo, Pachuca, Mexico

来源：

CERMA 2008: ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/CERMA.2008.37

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 2x2.

引用

页码：447 / +

页数：2

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