Robustly stable signal recovery in compressed sensing with structured matrix perturbation

The sparse signal recovery in the standard compressed sensing (CS) problem requires that the sensing matrix be known a priori. Such an ideal assumption may not be met in practical applications where various errors and fluctuations exist in the sensing instruments. This paper considers the problem of...

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書目詳細資料
Main Authors: Yang, Zai, Zhang, Cishen, Xie, Lihua
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2013
主題:
在線閱讀:https://hdl.handle.net/10356/100144
http://hdl.handle.net/10220/13582
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