The ability to efficiently and sparsely represent seismic data is becoming an increasingly important problem in geophysics. Over the last 30 years many transforms such as wavelets, curvelets, contourlets, surfacelets, shearlets, and many other types ofx-lets have been developed. Such transform were leveraged to resolve this issue. In this work we compare the properties of four of these commonly used transforms, namely the shift-invariant wavelets, complex wavelets, curvelets and surfacelets. We also explore the performance of these transforms for the problem of recovering seismic wavefields from incomplete physical and frequency measurements.
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Evgeniy Lebed, M.Sc., received Bachelor of Science in Applied Mathematics from Simon Fraser University and Master of Science in Mathematics from University of British Columbia. He is currently completing Ph.D. in Engineering.
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Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lebed EvgeniyEvgeniy Lebed, M.Sc., received Bachelor of Science in Applied nMathematics from Simon Fraser University and Master of Science nin Mathematics from University of British Columbia. He is ncurrently completing Ph.D. in Engi. Seller Inventory # 4962544
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Taschenbuch. Condition: Neu. Sparse Signal Recovery in a Transform Domain | Theory and Application | Evgeniy Lebed | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639156768 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101551972
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