Underdetermined Blind Separation using modified subspace-based algorithm in the time-frequency domain

被引：0
|
作者：
Li, Hui [1 ]
Shen, Yue-Hong [1 ]
Cao, Min [1 ]
Wang, Jiang-Gong [1 ]
机构：
[1] Xian Commun Inst, Xian, Peoples R China
来源：
PRZEGLAD ELEKTROTECHNICZNY | 2011年 / 87卷 / 07期
关键词：
underdetermined blind separation; sparsity; time-frequency subspace projection; principle component analysis;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To solve the underdetermined blind separation (UBSS) problem, Aissa-El-Bey et al. have proposed the significant subspace-based algorithms in the time-frequency (TF) domain, where a fixed ( maximum) value of K, i.e., the number of active sources overlapping at any TF point, is considered for simplicity. In this paper, based on the principle component analysis (PCA) technology, we propose a modified algorithm by estimating the number K for selected frequency bins where most energy is concentrated. Improved performances are obtained without increasing complexity.
引用
收藏
页码：280 / 283
页数：4
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