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

Authors:
S. Azizi;D. Cochran;J. N. McDonald
Affiliations:
Arizona State Univ., Tempe, AZ;-;-
Venue:
IEEE Transactions on Information Theory
Year:
2006

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Cited 1

A Spectral Analysis of Function Composition and its Implications for Sampling in Direct Volume Visualization

IEEE Transactions on Visualization and Computer Graphics

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Abstract

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