Matches in SemOpenAlex for { <https://semopenalex.org/work/W2015672077> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2015672077 endingPage "948" @default.
- W2015672077 startingPage "948" @default.
- W2015672077 abstract "Singular value decomposition (SVD)-based approaches, e.g., truncated SVD and Tikhonov regularization methods, are effective ways to solve problems of small or moderate size. However, SVD, in the sense of computation, is expensive when it is applied in large-sized cases. A multilevel method (MLM) combining SVD-based methods with the thresholding technique for signal restoration is proposed in this paper. Our MLM will transfer large-sized problems to small- or moderate-sized problems in order to make the SVD-based methods available. The linear systems on the coarsest level in the multilevel process will be solved by the Tikhonov regularization method. No presmoothers are implemented in the multilevel process to avoid damaging the parameter choice on the coarsest level. Furthermore, the soft-thresholding denoising technique is employed for the postsmoothers aiming to eliminate the leaving high-frequency information due to the lack of presmoothers. Finally, computational experiments show that our method outperforms other SVD-based methods in signal restoration ability at a shorter CPU-time consumption." @default.
- W2015672077 created "2016-06-24" @default.
- W2015672077 creator A5011715660 @default.
- W2015672077 creator A5022526666 @default.
- W2015672077 creator A5042169974 @default.
- W2015672077 creator A5065782725 @default.
- W2015672077 creator A5088224232 @default.
- W2015672077 date "2013-04-22" @default.
- W2015672077 modified "2023-10-11" @default.
- W2015672077 title "Signal restoration combining Tikhonov regularization and multilevel method with thresholding strategy" @default.
- W2015672077 cites W1981444038 @default.
- W2015672077 cites W1998762105 @default.
- W2015672077 cites W2016187097 @default.
- W2015672077 cites W2018640163 @default.
- W2015672077 cites W2018912300 @default.
- W2015672077 cites W2039674382 @default.
- W2015672077 cites W2061335586 @default.
- W2015672077 cites W2071485538 @default.
- W2015672077 cites W2078555332 @default.
- W2015672077 cites W2146842127 @default.
- W2015672077 cites W2168647000 @default.
- W2015672077 cites W4244410452 @default.
- W2015672077 doi "https://doi.org/10.1364/josaa.30.000948" @default.
- W2015672077 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23695327" @default.
- W2015672077 hasPublicationYear "2013" @default.
- W2015672077 type Work @default.
- W2015672077 sameAs 2015672077 @default.
- W2015672077 citedByCount "6" @default.
- W2015672077 countsByYear W20156720772013 @default.
- W2015672077 countsByYear W20156720772015 @default.
- W2015672077 countsByYear W20156720772017 @default.
- W2015672077 countsByYear W20156720772020 @default.
- W2015672077 countsByYear W20156720772021 @default.
- W2015672077 countsByYear W20156720772023 @default.
- W2015672077 crossrefType "journal-article" @default.
- W2015672077 hasAuthorship W2015672077A5011715660 @default.
- W2015672077 hasAuthorship W2015672077A5022526666 @default.
- W2015672077 hasAuthorship W2015672077A5042169974 @default.
- W2015672077 hasAuthorship W2015672077A5065782725 @default.
- W2015672077 hasAuthorship W2015672077A5088224232 @default.
- W2015672077 hasConcept C11413529 @default.
- W2015672077 hasConcept C115961682 @default.
- W2015672077 hasConcept C126255220 @default.
- W2015672077 hasConcept C134306372 @default.
- W2015672077 hasConcept C135252773 @default.
- W2015672077 hasConcept C152442038 @default.
- W2015672077 hasConcept C154945302 @default.
- W2015672077 hasConcept C163294075 @default.
- W2015672077 hasConcept C191178318 @default.
- W2015672077 hasConcept C22789450 @default.
- W2015672077 hasConcept C2776135515 @default.
- W2015672077 hasConcept C33923547 @default.
- W2015672077 hasConcept C41008148 @default.
- W2015672077 hasConcept C45374587 @default.
- W2015672077 hasConceptScore W2015672077C11413529 @default.
- W2015672077 hasConceptScore W2015672077C115961682 @default.
- W2015672077 hasConceptScore W2015672077C126255220 @default.
- W2015672077 hasConceptScore W2015672077C134306372 @default.
- W2015672077 hasConceptScore W2015672077C135252773 @default.
- W2015672077 hasConceptScore W2015672077C152442038 @default.
- W2015672077 hasConceptScore W2015672077C154945302 @default.
- W2015672077 hasConceptScore W2015672077C163294075 @default.
- W2015672077 hasConceptScore W2015672077C191178318 @default.
- W2015672077 hasConceptScore W2015672077C22789450 @default.
- W2015672077 hasConceptScore W2015672077C2776135515 @default.
- W2015672077 hasConceptScore W2015672077C33923547 @default.
- W2015672077 hasConceptScore W2015672077C41008148 @default.
- W2015672077 hasConceptScore W2015672077C45374587 @default.
- W2015672077 hasIssue "5" @default.
- W2015672077 hasLocation W20156720771 @default.
- W2015672077 hasLocation W20156720772 @default.
- W2015672077 hasOpenAccess W2015672077 @default.
- W2015672077 hasPrimaryLocation W20156720771 @default.
- W2015672077 hasRelatedWork W2050033254 @default.
- W2015672077 hasRelatedWork W2127000180 @default.
- W2015672077 hasRelatedWork W2152224705 @default.
- W2015672077 hasRelatedWork W2322955667 @default.
- W2015672077 hasRelatedWork W2337734184 @default.
- W2015672077 hasRelatedWork W2373176546 @default.
- W2015672077 hasRelatedWork W2373436489 @default.
- W2015672077 hasRelatedWork W2374214022 @default.
- W2015672077 hasRelatedWork W2388364587 @default.
- W2015672077 hasRelatedWork W2561531189 @default.
- W2015672077 hasVolume "30" @default.
- W2015672077 isParatext "false" @default.
- W2015672077 isRetracted "false" @default.
- W2015672077 magId "2015672077" @default.
- W2015672077 workType "article" @default.