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

Mehrkanoon, S. and Moghavvemi, M. and Fariborzi, H. (2007) Real time De-mixing system based on LMS adaptive algorithm for blind two source signals separation. In: 2007 5th Student Conference on Research and Development, SCORED, 11 - 12 December 2007, Selangor, Malaysia.

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Article number 4451378 ISBN: 1424414709;978-142441470-3 DOI: 10.1109/SCORED.2007.4451378
Uncontrolled Keywords: Independent component analysis; LMS adaptive learning algorithm; Signal separation; Independent component analysis; LMS adaptive learning algorithm; Research and development; Signal separation; Source signals.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Ms. Norhamizah Tamizi
Date Deposited: 27 Mar 2014 07:30
Last Modified: 23 Nov 2017 02:01
URI: http://eprints.um.edu.my/id/eprint/9765

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