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: | , , |
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| 格式: | 雜誌 |
| 出版: |
2020
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| 主題: | |
| 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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| 機構: | Chiang Mai University |