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Implementation of Blind Source Recovery Using the Gini Coefficient  

Jeong, Jae-Woong (연세대학교 전기전자공학)
Song, Eun-Jung (삼성전자 선행연구팀)
Park, Young-Cheol (연세대학교 원주캠퍼스 정보기술학부)
Youn, Dae-Hee (연세대학교 전기전자공학)
Publication Information
The Journal of the Acoustical Society of Korea / v.27, no.1, 2008 , pp. 26-32 More about this Journal
Abstract
UBSS (unde-determined blind source separation) is composed of the stages of BMMR (blind mixing matrix recovery) and BSR (blind source recovery). Generally, these two stages are executed using the sparseness of the observed data, and their performance is influenced by the accuracy of the measure of the sparseness. In this paper, as introducing the measure of the sparseness using the Gini coefficient to BSR stage, we obtained more accurate measure of the sparseness and better performance of BSR than methods using the $l_1$-norm, $l_q$-norm, and hyperbolic tangent, which was confirmed via computer simulations.
Keywords
Blind source recovery; Hyperbolic tangent; Gini coefficient; $l_1$-norm; $l_q$-norm; Sparseness; Under-determined blind source separation;
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