计算机工程与应用Issue(21)：208-211,219,5.DOI:10.3778/j.issn.1002-8331.1202-0042
基于时频单源点的欠定混合矩阵估计
Underdetermined mixing matrix estimation based on single source points in time-frequency domain
董天宝 1程雷 2杨景曙1
作者信息
- 1. 电子工程学院 702室，合肥 230037
- 2. 总参陆航部 军代局，北京 100050
- 折叠
摘要
Abstract
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.关键词
欠定盲源分离/混合矩阵估计/时频单源点Key words
underdetermined blind source separation/mixing matrix estimation/single source points in Time-Frequency(TF) domain分类
信息技术与安全科学引用本文复制引用
董天宝,程雷,杨景曙..基于时频单源点的欠定混合矩阵估计[J].计算机工程与应用,2013,(21):208-211,219,5.
