A joint recovery algorithm for distributed compressed sensing - 源码 - 源码 - 免费下载

A joint recovery algorithm for distributed compressed sensing

文件大小： 997k

源码售价： 10 个金币积分规则积分充值

资源说明：Distributed compressed sensing exploits the correlation among multiple signals to reduce the number of measurements required for recovery. In this paper, we propose a recovery algorithm for a type of joint sparsity model, where all signals share a common sparse component and each individual signal contains a sparse innovation component. Our approach iteratively removes the information of each component from the measurements and then performs sparse recovery. We provide analytical analysis to ver

部分文件列表（点击文件名可查看文件内容）

					
									本源码包内暂不包含可直接显示的源代码文件，请下载源码包。