Real time De-mixing system based on LMS adaptive algorithm for blind two source signals separation
Document Type
Conference Item
Publication Date
12-1-2007
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.
Keywords
Independent component analysis, LMS adaptive learning algorithm, Signal separation, Independent component analysis, LMS adaptive learning algorithm, Research and development, Signal separation, Source signals.
Divisions
fac_eng
Event Title
2007 5th Student Conference on Research and Development, SCORED
Event Location
Selangor, Malaysia
Event Dates
11 - 12 December 2007
Event Type
conference
Additional Information
Article number 4451378 ISBN: 1424414709;978-142441470-3 DOI: 10.1109/SCORED.2007.4451378