Open AccessBLIND SOURCE SEPARATION OF AUDIO SIGNALS USING WVD-KR ALGORITHM
Author(s) -
D. Sugumar,
Neethu Susan Rajan,
P. T. Vanathi
Publication year - 2014
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2014.1174
Subject(s) - blind signal separation , algorithm , computer science , term (time) , matrix (chemical analysis) , mixing (physics) , source separation , product (mathematics) , point (geometry) , mathematics , pattern recognition (psychology) , artificial intelligence , telecommunications , physics , chemistry , channel (broadcasting) , geometry , quantum mechanics , chromatography
Under-determined blind source separation aims to separate N non-stationary sources from M (M<N) mixtures.Paper presents a time-frequency approach (TF) to under-determined blind source separation of N non-stationary sources from M mixtures(M<N). It is based on Wigner-Ville distribution and Khatri-Rao product. Improved method involves a two step approach which involves the estimation of the mixing matrix where negative values of auto WVD of the sources are fully considered and secondly auto-term TF points are extracted.After extracting the auto-term TF points source WVD values at every TF point are computed using a new algorithm based on Khatri-Rao product. Thus sources are separated with the proposed approach no matter how many active sources there are as long as N≤ 2M-1.Simulation results are presented to show the superiority of the proposed algorithm by comparing it with the existing algorithms.