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

نویسندگان

  • Shahrnaz Azizi
  • Douglas Cochran
  • John N. McDonald
چکیده

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.

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عنوان ژورنال:
  • IEEE Trans. Information Theory

دوره 48  شماره 

صفحات  -

تاریخ انتشار 2002