Reproducing kernel structure and sampling on time-warped spaces with application to warped wavelets

Shahrnaz Azizi, Douglas Cochran, John N. McDonald

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Time-warped signal spaces have received recent attention in the research literature. Among the topics of particular interest are sampling of time-warped signals and signal analysis using warped analysis functions, including wavelets. This correspondence introduces a reproducing kernel (RK) structure for time-warped signal spaces that unifies multiple perspectives on sampling in such spaces.

Original languageEnglish (US)
Pages (from-to)789-790
Number of pages2
JournalIEEE Transactions on Information Theory
Volume48
Issue number3
DOIs
StatePublished - Mar 2002

Keywords

  • Nonuniform sampling
  • Reproducing kernel (RK)
  • Sampling
  • Time warping
  • Wavelets

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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