A new family of low coherence finite Gabor frames and applications in compressive sampling

Alihan Kaplan, Volker Pohl, Holger Boche

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Gabor frames with low coherence are applied in diverse engineering theoretic frameworks such as CDMA, discrete radar, or for the measuremet of time-vayring channels. This paper proposes a construction of a new family of low coherence finite Gabor frames in dimensions pn-1 where p is a prime number and n is a positive integer. For these dimensions, similar constructions were previously not known. It is shown that these frames are close to maximally equiangular frames, i.e. the coherence of these frames is close to the Welch bound. Additionally some results on statistical sparse vector recovery are proven for the proposed Gabor frames, verifying their suitability as sensing matrices in compressive sampling.

Original languageEnglish
Title of host publication2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538665282
DOIs
StatePublished - Jul 2019
Event20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019 - Cannes, France
Duration: 2 Jul 20195 Jul 2019

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2019-July

Conference

Conference20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
Country/TerritoryFrance
CityCannes
Period2/07/195/07/19

Keywords

  • deterministic compressive sampling
  • finite Gabor frames
  • low coherence frames
  • statistical RIP
  • strong coherence property

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