Wavelet Packet Transform-Based Algorithm for Mixing Matrix Estimation

被引:0
|
作者
Zhang, Yujie [1 ]
Peng, Huiming [1 ]
Li, Hongwei [1 ]
机构
[1] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China
关键词
under-determined blind source separation; sparse component separation; wavelet packet transform; k-means clustering;
D O I
10.4304/jcp.7.11.2605-2611
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The sparsity of signals in their transformed domain is widely used for under-determined blind source separation. The most challenging task of under-determined BSS is to estimate the mixing matrix. In this paper, a new cost function is proposed to detect the sparsest sub-band. Samples in the sub-band can be used to estimate the mixing matrix. Finally some numerical experiments are performed to evaluate the effectiveness of the proposed algorithm.
引用
收藏
页码:2605 / 2611
页数:7
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