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

• 来源期刊: 计算数学（英文版）
• 关键词: Inverse scale space Piecewise sparse Sparse recovery Small-scaled entries
• 年，卷（期）: 2020,（2）
• 页码范围: 375-394
• 页数: 20页
• 语种: 英文
• DOI: 10.4208/jcm.1810-m2017-0233

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 aISS,the P_ISS algorithm is more effective and robust for piecewise sparse recovery.