Real time De-mixing system based on LMS adaptive algorithm for blind two source signals separation

Saeid Mehrkanoon*, Mahmoud Moghavvemi, Hossein Fariborzi

*Corresponding author for this work

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

Abstract

In this paper an algorithm for real-time signal processing of adaptive blind source separation (ABSS) is proposed. It is a promising method for speech and acoustic source signal separation in noisy environment such as room, office, etc. This paper proposed real-time de-mixture of speech mixture in enclosure environments. Making the real-time mixture of source signals as simultaneously as de-mixture in simulation based on adaptive NLMS and activation function in neural network are proposed. Separating the sources in the frequency domain is shown. The time variant mixing matrix based on random vector with time variable elements are made. Several simulations obtain optimum results of implemented algorithm. An experiment for testing the efficacy of the algorithm in the real-time source separation by high performance computer is presented.

Original languageEnglish (US)
Title of host publication2007 5th Student Conference on Research and Development, SCORED
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 5th Student Conference on Research and Development, SCORED - Selangor, Malaysia
Duration: Dec 11 2007Dec 12 2007

Other

Other2007 5th Student Conference on Research and Development, SCORED
CountryMalaysia
CitySelangor
Period12/11/0712/12/07

Keywords

  • Independent component analysis
  • LMS adaptive learning algorithm
  • Signal separation

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Education

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