PIECEWISE SPARSE RECOVERY VIA PIECEWISE INVERSE SCALE SPACE ALGORITHM WITH DELETION RULE  

作　　者：Yijun Zhong Chongjun Li 

机构地区：[1]School of Mathematical Sciences,Dalian University of Technology,Dalian 116024,China

出　　处：《Journal of Computational Mathematics》2020年第2期375-394,共20页计算数学（英文）

基　　金：National Natural Science Foundation of China(Nos.11871137,11471066,11290143);the Fundamental Research of Civil Aircraft(No.MJ-F-2012-04)。

摘　　要：In some applications,there are signals with piecewise structure to be recovered.In this paper,we propose a piecewise_ISS(P_ISS)method which aims to preserve the piecewise sparse structure(or the small-scaled entries)of piecewise signals.In order to avoid selecting redundant false small-scaled elements,we also implement the piecewise_ISS algorithm in parallel and distributed manners equipped with a deletion rule.Numerical experiments indicate that compared with alSS,the P_ISS algorithm is more effective and robust for piecewise sparse recovery.

关 键 词：Inverse scale space Piecewise sparse Sparse recovery Small-scaled entries 

分 类 号：O24[理学—计算数学]