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Design of fast multidimensional filters using genetic algorithms
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
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2005 (English)In: Applications of Evolutionary Computing: EvoWorkkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC Lausanne, Switzerland, March 30 - April 1, 2005 Proceedings, Springer Berlin/Heidelberg, 2005, 366-375 p.Conference paper, Published paper (Refereed)
Abstract [en]

A method for designing fast multidimensional filters using genetic algorithms is described. The filter is decomposed into component filters where coefficients can be sparsely scattered using filter networks. Placement of coefficients in the filters is done by genetic algorithms and the resulting filters are optimized using an alternating least squares approach. The method is tested on a 2-D quadrature filter and the method yields a higher quality filter in terms of weighted distortion compared to other efficient implementations that require the same ammount of computations to apply. The resulting filter also yields lower weighted distortion than the full implementation.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2005. 366-375 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 3449
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-28771DOI: 10.1007/978-3-540-32003-6_37Local ID: 13951ISBN: 978-3-540-25396-9 (print)ISBN: 978-3-540-32003-6 (print)OAI: oai:DiVA.org:liu-28771DiVA: diva2:249583
Conference
7th European Workshop on Evolutionary Computing in Image Analysis and Signal Processing,2005, Lausanne, Switzerland, 30 March - 1 April 2005
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2013-08-28

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Langer, MaxSvensson, BjörnBrun, AndersAndersson, MatsKnutsson, Hans

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Langer, MaxSvensson, BjörnBrun, AndersAndersson, MatsKnutsson, Hans
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Department of Biomedical EngineeringThe Institute of TechnologyMedical InformaticsCenter for Medical Image Science and Visualization (CMIV)
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