A Special FCL Clustering and Its Application to Sparse Blind Source Separation

被引：1
|
作者：
Tong, Yu [1 ]
Zhang, Yunjie [1 ]
机构：
[1] Dalian Maritime Univ, Dept Math, Dalian 116026, Peoples R China
来源：
CEIS 2011 | 2011年 / 15卷
关键词：
FCL; blind source separation; underdetermined sparse signal; REPRESENTATION; SUBSTRUCTURE;
D O I：
10.1016/j.proeng.2011.08.436
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fuzzy c-Lines (FCL) algorithm is a linear fuzzy clustering algorithm and is constructed to treat linear dates and capture linear substructures. This paper considers a special FCL clustering algorithm, then based on the special FCL clustering algorithm and generalized inverse of vectors, proposes a new two-step clustering algorithms in order to solve the underdetermined sparse blind signal separation. The proposed algorithm provides a new approach for mixing matrix estimation and source signals separation, and simulation results support the validity of the algorithm. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
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页数：5
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