计算机工程与应用2012，Vol.48Issue(12)：112-115,4.DOI:10.3778/j.issn.1002-8331.2012.12.022
一种欠定盲源分离新算法
New algorithm for underdetermined blind source separation
摘要
Abstract
A new two-step algorithm for underdetermined source separation is proposed. Mixing matrix is estimated using clustering methods. Sources are estimated using a fast sparse reconstructed algorithm which defines a continuous and differential function so as to approximate ∮° -norm. The new algorithm runs fast and is easily implemented. It is experimentally shown that the proposed algorithm runs faster than other two underdetermined source separation algorithms using fast minimization ∮1 -norm and OMP methods, while acquiring almost the same quality.关键词
欠定盲源分离/稀疏分量分析/两步法/l0范数Key words
underdetermined blind source separation/ sparse component analysis/ two-step method/ ∮0-norm分类
信息技术与安全科学引用本文复制引用
董天宝,杨景曙..一种欠定盲源分离新算法[J].计算机工程与应用,2012,48(12):112-115,4.
