Convergence analysis of the loping OS-EM algorithm for noisy data
In this paper, we modify the OS-EM algorithm with an overrelaxation. For noisy data, we focus on the convergence analysis for loping OS-EM algorithm and extend the noisy data in -norm space. We get some results by employing a stopping rule and show weak convergence of the iterates to solution of the...
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| Published in: | Complex variables and elliptic equations Vol. 65; no. 11; pp. 1871 - 1881 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Colchester
Taylor & Francis
01.11.2020
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| ISSN: | 1747-6933, 1747-6941 |
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| Abstract | In this paper, we modify the OS-EM algorithm with an overrelaxation. For noisy data, we focus on the convergence analysis for loping OS-EM algorithm and extend the noisy data
in
-norm space. We get some results by employing a stopping rule and show weak convergence of the iterates to solution of the equations. |
|---|---|
| AbstractList | In this paper, we modify the OS-EM algorithm with an overrelaxation. For noisy data, we focus on the convergence analysis for loping OS-EM algorithm and extend the noisy data in -norm space. We get some results by employing a stopping rule and show weak convergence of the iterates to solution of the equations. In this paper, we modify the OS-EM algorithm with an overrelaxation. For noisy data, we focus on the convergence analysis for loping OS-EM algorithm and extend the noisy data in -norm space. We get some results by employing a stopping rule and show weak convergence of the iterates to solution of the equations. |
| Author | Guo, Yao Fu, Min Wang, Jinping |
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| Cites_doi | 10.1111/j.2517-6161.1977.tb01600.x 10.1214/aos/1176346060 10.1109/42.363108 10.1088/0266-5611/25/7/075008 10.1002/mma.3508 10.1088/0266-5611/23/6/019 10.1023/A:1017986506241 10.1002/mma.855 |
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| Copyright | 2019 Informa UK Limited, trading as Taylor & Francis Group 2019 2019 Informa UK Limited, trading as Taylor & Francis Group |
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| Snippet | In this paper, we modify the OS-EM algorithm with an overrelaxation. For noisy data, we focus on the convergence analysis for loping OS-EM algorithm and extend... |
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| SubjectTerms | Algorithms Convergence Ill-posed equations monotonicity the loping OS-EM method |
| Title | Convergence analysis of the loping OS-EM algorithm for noisy data |
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