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

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

Time-warped signal spaces have received attention in the 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...

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Veröffentlicht in:IEEE transactions on information theory 2002-03, Vol.48 (3), p.789-790
Hauptverfasser: Azizi, S., Cochran, D., McDonald, J.N.
Format: Artikel
Sprache:eng
Schlagworte:
Information theory
Kernels
Sampling
Signal analysis
Signal sampling
Wavelet
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Beschreibung
Zusammenfassung:Time-warped signal spaces have received attention in the 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.
ISSN:0018-9448
1557-9654
DOI:10.1109/18.986052