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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.
非负矩阵分解（NMF）要求分解得到的左矩阵为列满秩，这限制了它在欠定盲分离（UBSS）中的应用。
The decomposed left matrix of Non-negative Matrix Factorization (NMF) is required to be full column rank, which limits of its application to Underdetermined Blind Source Separation (UBSS).
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.
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