Underdetermined mixing matrix estimation based on single source points in time-frequency domain
Dong Tian-ba · Computer Engineering and Applications Journal · 2013
This paper focuses on the mixing matrix estimation in Underdetermined Blind Source Separation(UBSS). A method of single source points detection in the Time-Frequency(TF)domain is proposed, which detects the points by comparing the normalized real and imaginary parts of the mixtures. The proposed method is simple and effective, which also relaxes the condition on detecting the single source points compared with other existing method. Then K-means clustering method is adopted to estimate the mixing matrix. The performance of the mixing matrix estimation is further improved by removing those points which are far away from the mean direction of each cluster. It is experimentally shown that the proposed mixing matrix estimation algorithm estimates the mixing matrix with high accuracy compared with other algorithms.