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http://dx.doi.org/10.7776/ASK.2006.25.1.014

Blind Signal Separation Using Eigenvectors as Initial Weights in Delayed Mixtures  

Park, Jang-Sik (동의과대학 영상정보과)
Son, Kyung-Sik (부산대학교 전자공학과)
Park, Keun-Soo (부산대학교 전자공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.25, no.1, 2006 , pp. 14-20 More about this Journal
Abstract
In this paper. a novel technique to set up the initial weights in BSS of delayed mixtures is proposed. After analyzing Eigendecomposition for the correlation matrix of mixing data. the initial weights are set from the Eigenvectors ith delay information. The Proposed setting of initial weighting method for conventional FDICA technique improved the separation Performance. The computer simulation shows that the Proposed method achieves the improved SIR and faster convergence speed of learning curve.
Keywords
Blind signal separation; Independent component analysis; Initial weight setting; FIR polynomial algebra;
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