基于一种两步稀疏表示的方法，利用随机框架讨论欠定盲源分离的恢复能力。
This paper discusses the recoverability of underdetermined blind source separation(BSS), based on a two-stage sparse representation approach.
利用稀疏分量的直线聚类性，提出了欠定盲源分离中估计混合矩阵的一种方法。
A method of the mixing matrix estimation in underdetermined source separation is proposed, which is based on the linear clustering of sparse component.
针对目前欠定盲分离问题中源数未知，采取“两步法”进行分离源信号。
The two-step approach is often used to separate sources in underdetermined blind separation problem.
针对目前欠定盲分离问题中源数未知，采取“两步法”进行分离源信号。
The two-step approach is often used to separate sources in underdetermined blind separation problem.
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