The Application of Compressed Sensing in Blind Source Separation

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- The Application of Compressed Sensing in Blind Source Separation
- Vol. 29, Issue 3, Pages: 49-53(2012)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2012.03.009
  CLC：
- Online First：20 September 2012，
  
  Published：2012
- 稿件说明：
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王涛文. 压缩感知原理在盲信号分离中的应用[J]. 广东工业大学学报, 2012, 29(3): 49-53.

Wang Tao-wen. The Application of Compressed Sensing in Blind Source Separation[J]. 2012, 29(3): 49-53.
王涛文. 压缩感知原理在盲信号分离中的应用[J]. 广东工业大学学报, 2012, 29(3): 49-53. DOI： 10.3969/j.issn.1007-7162.2012.03.009.

Wang Tao-wen. The Application of Compressed Sensing in Blind Source Separation[J]. 2012, 29(3): 49-53. DOI： 10.3969/j.issn.1007-7162.2012.03.009.

主要阐述了压缩感知的基本原理，介绍了压缩感知的3个基本问题：信号的稀疏表示、稀疏基与测量矩阵的不相关性和信号的重构，分析了它与盲信号分离之间的联系，为解决盲信号分离问题提供了一个新的途径.最后通过具体实验说明它在盲信号分离上的应用.

Compressed Sensing has been a new signal sampling theory in recent years

for it overcomes the high rate of sampling defects of traditional Nyquist signal sampling theory

It presented the basic principles of Compressed Sensing

introduced three fundamental questions of Compressed Sensing-the sparseness of signals、irrelevance between sparse matrix and measurement matrix

and reconstruction of the signals，and analyzed the contact between Compressed Sensing and Blind Source Separation. Then

it offered a new way to solve the problem of Blind Source Separation. Finally

through the experiment it showed its application in Blind Source Separation.

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