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论文类型：期刊论文

发表时间：2013-06-01

发表刊物：ICIC Express Letters, Part B: Applications

收录刊物：EI、Scopus

卷号：4

期号：3

页面范围：739-746

ISSN号：21852766

摘要：This paper presents a novel two step underdetermined blind source separation approach that can apply for non-disjointed source signals. First, the single-sourcepoints (SSPs), each of which is occupied by a single source, are detected in the mixtures; the mixing matrix is then estimated accurately by employing K-means algorithm among those SSPs. In the separation procedure, the time-frequency points that incorporate one source, two sources, and so on, are found out, sequentially, so that they construct a row echelon-like form of system. Then, these sources at the points can be solved out explicitly under weak assumptions. One of the advantages is that algorithm does not rely on the non-stationarity, independence or the non-Gaussianity, as in the conventional ICA algorithms. Experimental results indicate the validity of the method. ? 2013 ISSN 2185-2766.