A new hybrid CQ algorithm for the split feasibility problem in Hilbert spaces and its applications to compressed sensing

A new hybrid CQ algorithm for the split feasibility problem in Hilbert spaces and its applications to compressed sensing

© 2019 by the authors. In this paper, we focus on studying the split feasibility problem (SFP), which has many applications in signal processing and image reconstruction. A popular technique is to employ the iterative method which is so called the relaxed CQ algorithm. However, the speed of converge...

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Main Authors:	Suthep Suantai, Suparat Kesornprom, Prasit Cholamjiak
格式:	雜誌
出版:	2020
主題:	Mathematics
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072312287&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67901
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