关键词: 欠定盲源分离, 稀疏分量分析, 两步法, [?0]范数

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 [?0]-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.

Key words: underdetermined blind source separation, sparse component analysis, two-step method, [?0]-norm