Implementation of blind source separation for multi-input

L. Noe Oliva-Moreno, Miguel A.Aleman Arce, Jair García-Lamont, José A. Moreno

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

Abstract

The present work shows, implementation of neural ICA algorithms with multiple inputs using VHDL Design in a Field Programmable Gate Array (FPGA). We designed an architecture modular using INFOMAX algorithm in order to add n inputs for audio signals. Some simulations results using VHDL are presented using music and voice recorded. The study of performance is made in a net 2×2 and also a net of 3×3.

Original languageEnglish
Title of host publication2008 5th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2008
Pages470-474
Number of pages5
DOIs
StatePublished - 2008
Event2008 5th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2008 - Mexico City, Mexico
Duration: 12 Nov 200814 Nov 2008

Publication series

Name2008 5th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2008

Conference

Conference2008 5th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2008
Country/TerritoryMexico
CityMexico City
Period12/11/0814/11/08

Keywords

  • BSS
  • FPGA
  • ICA
  • INFOMAX

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