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Prediction from off-grid samples using continuous normalized convolution
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
Laboratory of Mathematics in Imaging, Harvard Medical School, Brigham and Women's Hospital, Boston, USA.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
2007 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 87, no 3, 353-365 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel method for performing fast estimation of data samples on a desired output grid from samples on an irregularly sampled grid. The output signal is estimated using integration of signals over a neighbourhood employing a local model of the signal using discrete filters. The strength of the method is demonstrated in motion compensation examples by comparing to traditional techniques.

Place, publisher, year, edition, pages
2007. Vol. 87, no 3, 353-365 p.
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Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-22103DOI: 10.1016/j.sigpro.2006.04.011ISI: 000242697400001Local ID: 1197OAI: oai:DiVA.org:liu-22103DiVA: diva2:242416
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2015-10-08

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Andersson, KennethWestin, Carl-FredrikKnutsson, Hans

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