Implementation of infomax ICA algorithm for blind source separation

L. Noe Oliva Moreno; Miguel A. Alemán Arce; Jair García Lamont

doi:10.1109/CERMA.2008.37

Implementation of infomax ICA algorithm for blind source separation

L. Noe Oliva Moreno, Miguel A. Alemán Arce, Jair García Lamont

Research output: Contribution to conference › Paper › peer-review

4 Scopus citations

Abstract

In this paper, is use a Field Programmable Gate Array (FPGA) to implement an Informationmaximization (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.

Original language	English
Pages	447-451
Number of pages	5
DOIs	https://doi.org/10.1109/CERMA.2008.37
State	Published - 2008
Event	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 - Cuernavaca, Morelos, Mexico Duration: 30 Sep 2008 → 3 Oct 2008

Conference

Conference	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008
Country/Territory	Mexico
City	Cuernavaca, Morelos
Period	30/09/08 → 3/10/08

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10.1109/CERMA.2008.37

Cite this

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Implementation of infomax ICA algorithm for blind source separation. / Moreno, L. Noe Oliva ; Alemán Arce, Miguel A.; Lamont, Jair García.
2008. 447-451 Paper presented at Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008, Cuernavaca, Morelos, Mexico.

Research output: Contribution to conference › Paper › peer-review

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AU - Alemán Arce, Miguel A.

AU - Lamont, Jair García

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AB - In this paper, is use a Field Programmable Gate Array (FPGA) to implement an Informationmaximization (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.

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DO - 10.1109/CERMA.2008.37

M3 - Artículo

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T2 - Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008

Y2 - 30 September 2008 through 3 October 2008

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Implementation of infomax ICA algorithm for blind source separation

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