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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProgram and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010
Pages391-394
Number of pages4
DOIs
StatePublished - 2010
Event2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010 - Tuxtla Gutierrez, Mexico
Duration: 8 Sep 201010 Sep 2010

Publication series

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

Conference

Conference2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010
Country/TerritoryMexico
CityTuxtla Gutierrez
Period8/09/1010/09/10

Keywords

  • Blind source separation
  • FPGA
  • Independent component analysis

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