Adaptive seismic compression by wavelet shrinkage

In this paper, a sophisticated adaptive seismic compression method is presented based on wavelet shrinkage. Our approach combines a time-scale transform with an adaptive non-linear statistical method. First, a discrete 2-D biorthogonal discrete wavelet transform (DWT) is applied to the multi-channel...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Khene, M.F. (author)
مؤلفون آخرون: Abdul-Jauwad, S.H. (author), unknown (author)
التنسيق: article
منشور في: 2000
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14555/1/14555_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14555/2/14555_2.doc
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author Khene, M.F.
author2 Abdul-Jauwad, S.H.
unknown
author2_role author
author
author_facet Khene, M.F.
Abdul-Jauwad, S.H.
unknown
author_role author
dc.creator.none.fl_str_mv Khene, M.F.
Abdul-Jauwad, S.H.
unknown
dc.date.none.fl_str_mv 2000
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14555/1/14555_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14555/2/14555_2.doc
(2000) Adaptive seismic compression by wavelet shrinkage. Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on, 1.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14555/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Adaptive seismic compression by wavelet shrinkage
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In this paper, a sophisticated adaptive seismic compression method is presented based on wavelet shrinkage. Our approach combines a time-scale transform with an adaptive non-linear statistical method. First, a discrete 2-D biorthogonal discrete wavelet transform (DWT) is applied to the multi-channel seismic signals to generate a sparse multiresolution (subband) decomposition. Compression is then achieved by shrinking the detail wavelet coefficients using a scale-dependent non-linear soft-thresholding rule. The adaptive scale-dependent thresholds are determined by minimizing the Stein's unbiased risk estimate (SURE). The proposed compression procedure is tested on marine seismic data from the Midyan basin (Red Sea, Saudi Arabia)
eu_rights_str_mv openAccess
format article
id KFUPM_e5903854312a052bb0673b5b2a34cadc
identifier_str_mv (2000) Adaptive seismic compression by wavelet shrinkage. Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on, 1.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14555
publishDate 2000
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Adaptive seismic compression by wavelet shrinkageKhene, M.F.Abdul-Jauwad, S.H.unknownComputerIn this paper, a sophisticated adaptive seismic compression method is presented based on wavelet shrinkage. Our approach combines a time-scale transform with an adaptive non-linear statistical method. First, a discrete 2-D biorthogonal discrete wavelet transform (DWT) is applied to the multi-channel seismic signals to generate a sparse multiresolution (subband) decomposition. Compression is then achieved by shrinking the detail wavelet coefficients using a scale-dependent non-linear soft-thresholding rule. The adaptive scale-dependent thresholds are determined by minimizing the Stein's unbiased risk estimate (SURE). The proposed compression procedure is tested on marine seismic data from the Midyan basin (Red Sea, Saudi Arabia)IEEE20002020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14555/1/14555_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14555/2/14555_2.doc (2000) Adaptive seismic compression by wavelet shrinkage. Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14555/info:eu-repo/semantics/openAccessoai::145552019-11-01T14:06:22Z
spellingShingle Adaptive seismic compression by wavelet shrinkage
Khene, M.F.
Computer
status_str publishedVersion
title Adaptive seismic compression by wavelet shrinkage
title_full Adaptive seismic compression by wavelet shrinkage
title_fullStr Adaptive seismic compression by wavelet shrinkage
title_full_unstemmed Adaptive seismic compression by wavelet shrinkage
title_short Adaptive seismic compression by wavelet shrinkage
title_sort Adaptive seismic compression by wavelet shrinkage
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14555/1/14555_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14555/2/14555_2.doc