Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
MERIT: A monotonically error-bound improving technique for unimodular quadratic programming
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2014 (English)In: Proc. 39th International Conference on Acoustics, Speech, and Signal Processing, Piscataway, NJ: IEEE , 2014, 5656-5660 p.Conference paper, Published paper (Refereed)
Abstract [en]

The NP-hard problem of optimizing a quadratic form over the unimodular vector set arises in radar code design scenarios as well as other active sensing and communication applications. To tackle this problem, a monotonically error-bound improving technique (MERIT) is proposed to obtain the global optimum or a local optimum of UQP with good sub-optimality guarantees. The provided sub-optimality guarantees are case-dependent and may outperform the pi/4 approximation guarantee of semi-definite relaxation.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE , 2014. 5656-5660 p.
Series
International Conference on Acoustics Speech and Signal Processing, ISSN 1520-6149
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-217403DOI: 10.1109/ICASSP.2014.6854686ISI: 000343655305138ISBN: 978-1-4799-2893-4 (print)OAI: oai:DiVA.org:uu-217403DiVA: diva2:693057
Conference
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014, May 4-9, Florence, Italy
Available from: 2014-05-09 Created: 2014-02-03 Last updated: 2015-01-08Bibliographically approved

Open Access in DiVA

fulltext(288 kB)104 downloads
File information
File name FULLTEXT01.pdfFile size 288 kBChecksum SHA-512
2ea0ef5d1ddd98d2f895e70004e1f0287d11760935571f620ec0dde0ea4fc1bb1016a6fa5334e9b0d2621cfd5cbc58089a0246cfd3da5791d9b875b9e50e5c7d
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Soltanalian, MojtabaStoica, Peter
By organisation
Division of Systems and ControlAutomatic control
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 104 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 552 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf