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- W2317090665 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2014Irregular seismic data reconstruction using a percentile-half-thresholding algorithmAuthors: Keling Chen*Yangkang ChenPeidong ShiYanyan WangKeling Chen*U of HoustonSearch for more papers by this author, Yangkang ChenU of Texas at AustinSearch for more papers by this author, Peidong ShiChina U of PetroleumSearch for more papers by this author, and Yanyan WangChina U of PetroleumSearch for more papers by this authorhttps://doi.org/10.1190/segam2014-0341.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract In this paper, a percentile-half-thresholding approach is proposed in the transformed domain thresholding process for iterative shrinkage thresholding (IST). The percentile-thresholding strategy is more convenient for implementing than the constant-value, linear-decreasing, or exponential-decreasing thresholding because it's data-driven. The novel half-thresholding strategy is inspired from the recent advancement in the researches on optimization using non-convex regularization. We summarize a general thresholding framework for IST and show that the only difference between half thresholding and the conventional soft or hard thresholding lays in the thresholding operator. Thus it's straightforward to insert the existing percentile-thresholding strategy to the half-thresholding iterative framework. We use both synthetic and field data examples to compare the performances using soft thresholding or half thresholding with constant threshold or percentile threshold. Synthetic and field data show consistent results that apart from the threshold-setting convenience, the percentile thresholding also has the possibility for improving the recovery performance. Compared with soft thresholding, half thresholding tends to have a more precise reconstructed result. Keywords: 2D, acquisition, algorithm, signal processingPermalink: https://doi.org/10.1190/segam2014-0341.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2014ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2014 Pages: 5183 publication data© 2014 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 05 Aug 2014 CITATION INFORMATION Keling Chen*, Yangkang Chen, Peidong Shi, and Yanyan Wang, (2014), Irregular seismic data reconstruction using a percentile-half-thresholding algorithm, SEG Technical Program Expanded Abstracts : 3663-3668. https://doi.org/10.1190/segam2014-0341.1 Plain-Language Summary Keywords2Dacquisitionalgorithmsignal processingPDF DownloadLoading ..." @default.
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- W2317090665 title "Irregular seismic data reconstruction using a percentile-half-thresholding algorithm" @default.
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