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

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Páginas	447-451
Número de páginas	5
DOI	https://doi.org/10.1109/CERMA.2008.37
Estado	Publicada - 2008
Evento	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 - Cuernavaca, Morelos, México Duración: 30 sep. 2008 → 3 oct. 2008

Conferencia

Conferencia	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008
País/Territorio	México
Ciudad	Cuernavaca, Morelos
Período	30/09/08 → 3/10/08

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10.1109/CERMA.2008.37

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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.",

author = "Moreno, {L. Noe Oliva} and {Alem{\'a}n Arce}, {Miguel A.} and Lamont, {Jair Garc{\'i}a}",

year = "2008",

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language = "Ingl{\'e}s",

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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 Papel presentado en Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008, Cuernavaca, Morelos, México.

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

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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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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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