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Wavelet compression, data fitting and approximation based on adaptive composition of Lorentz-type thresholding and Besov-type non-threshold shrinkage
Narvik University College, 8505 Narvik, Norway.
Narvik University College, 8505 Narvik, Norway.
LuleƄ University of Technology, Department of Engineering Sciences and Mathematics, Mathematical Science.ORCID iD: 0000-0001-7620-9386
2010 (English)In: Large-Scale Scientific Computing: 7th International Conference, LSSC 2009, Sozopol, Bulgaria, June 4-8, 2009 / [ed] Ivan Lirkov; Svetozar Margenov; Jerzy Wasniewski, Berlin: Springer Science+Business Media B.V., 2010, 738-746 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this study we initiate the investigation of a new advanced technique, proposed in Section 6 of [3], for generating adaptive Besov-Lorentz composite wavelet shrinkage strategies. We discuss some advantages of the Besov-Lorentz approach compared to firm thresholding.

Place, publisher, year, edition, pages
Berlin: Springer Science+Business Media B.V., 2010. 738-746 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 5910
National Category
Mathematical Analysis
Research subject
Mathematics
Identifiers
URN: urn:nbn:se:ltu:diva-40281DOI: 10.1007/978-3-642-12535-5_88Local ID: f5a41150-0cad-11df-bae5-000ea68e967bISBN: 978-3-642-12534-8 (print)OAI: oai:DiVA.org:ltu-40281DiVA: diva2:1013803
Conference
International Conference on Large-Scale Scientific Computations : 04/06/2009 - 08/06/2009
Note
Validerad; 2010; 20100129 (grip)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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Citation style
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