欠定和非完全稀疏性的盲信号提取

两步策略已成为欠定盲信号分离的基本方法，混叠矩阵的估计是源恢复的先决条件.本文针对非完全稀疏性情况，提出一个两步的盲提取方法.该方法先利用信号的单源区间样本，估计部分源的基矢量（混叠矩阵的列矢量），后最小干扰地提取所对应的源；除它所对应的基矢量外，它不依赖的其它的基矢量，故回避了混叠矩阵可识别的必要条件.几个仿真实验结果显示了该算法的性能和实用性.

Underdetermined and Incompletely Sparse Blind Signal Extraction

Two step strategy has become a fundamental method for underdetermined blind signal separation and the estimation of mixing matrix is a prerequisite for the source’s recovery.This paper proposes a two step blind source extraction method for incompletely sparse case.The approach firstly estimates the basis vectors (columns of matrix) of partial sources using single source intervals and then extracts the corresponding sources with minimum interference;it doesn’t depend on other basis vector except the corresponding basis vector,so it avoids the essential condition the matrix is recoverable.Several simulation experimental results demonstrate its performance and practices.