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Proceedings Paper

Efficient computation of densely sampled wavelet transforms
Author(s): Douglas L. Jones; Richard G. Baraniuk
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Paper Abstract

An efficient algorithm is presented for computing the continuous wavelet transform and the wideband ambiguity function on a sample grid with uniform time spacing but arbitrary sampling in scale. The method is based on the chirp z-transform and requires the same order of computation as constant-bandwidth analysis techniques, such as the short-time Fourier transform and the narrowband ambiguity function. An alternative spline approximation method which is more efficient when the number of scale samples is large is also described.

Paper Details

Date Published: 1 December 1991
PDF: 5 pages
Proc. SPIE 1566, Advanced Signal Processing Algorithms, Architectures, and Implementations II, (1 December 1991); doi: 10.1117/12.49822
Show Author Affiliations
Douglas L. Jones, Univ. of Illinois/Urbana-Champaign (United States)
Richard G. Baraniuk, Univ. of Illinois/Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 1566:
Advanced Signal Processing Algorithms, Architectures, and Implementations II
Franklin T. Luk, Editor(s)

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