Optimized Infomax-ICA algorithm on FPGA Architecture for Blind Source Separation

L. Noé Oliva-Moreno, Jesús De La Cruz-Alejo, José A. Moreno-Cadenas

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2 Citas (Scopus)

Resumen

This work presents an optimized Implementation on Field Programmable Gate Array (FPGA) Architecture for an Infomax algorithm based on Independent Component Analysis (ICA). We use this algorithm to solving Blind Source Separation (BSS) problems in real-time mixed signal processing in order to clean speech signals under noisy environments and to probe the potential of this kind of algorithms embedded in hardware architectures. The work shows a new digital architecture of neural network composed by two dimensional arrays, the output signals present successful results according to theorical analysis and achieving the signals separation.

Idioma originalInglés
Título de la publicación alojadaProgram and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010
Páginas391-394
Número de páginas4
DOI
EstadoPublicada - 2010
Evento2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010 - Tuxtla Gutierrez, México
Duración: 8 sep. 201010 sep. 2010

Serie de la publicación

NombreProgram and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010

Conferencia

Conferencia2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010
País/TerritorioMéxico
CiudadTuxtla Gutierrez
Período8/09/1010/09/10

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