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Convolutional group-sparse coding and source localization
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0003-3054-7210
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0001-6630-243X
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a new interpretation of non-negatively constrained convolutional coding problems as blind deconvolution problems with spatially variant point spread function. In this light, we propose an optimization framework that generalizes our previous work on non-negative group sparsity for convolutional models. We then link these concepts to source localization problems that arise in scientific imaging, and provide a visual example on an image derived from data captured by the Hubble telescope.

Place, publisher, year, edition, pages
IEEE, 2018. p. 2776-2780
Series
IEEE International Conference on Acoustics, Speech and Signal Processing, E-ISSN 2379-190X
Keywords [en]
Sparse representation, Source localization, Non-negative group sparsity
National Category
Signal Processing
Research subject
Electrical Engineering; Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-224253DOI: 10.1109/ICASSP.2018.8462235ISBN: 978-1-5386-4659-5 (print)ISBN: 978-1-5386-4658-8 (electronic)ISBN: 978-1-5386-4657-1 (electronic)OAI: oai:DiVA.org:kth-224253DiVA, id: diva2:1190635
Conference
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15-20 April 2018, Calgary, AB, Canada
Funder
Swedish Research Council, 2015-04026
Note

QC 20180917

Available from: 2018-03-15 Created: 2018-03-15 Last updated: 2018-09-18Bibliographically approved

Open Access in DiVA

fulltext(13969 kB)15 downloads
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File name FULLTEXT01.pdfFile size 13969 kBChecksum SHA-512
699299e300c076916bc8e6cd3752fb12ed8a02fca7b54ffd1d82a16a465261dd8f6a322b8216c204e03ab2f40c307e60caf46dff6e2b52be72bfcea3c1d96b7f
Type fulltextMimetype application/pdf

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del Aguila Pla, PolJaldén, Joakim

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CiteExportLink to record
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  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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