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Proceedings Paper

Wavelets, their autocorrelation functions, and multiresolution representations of signals
Author(s): Gregory Beylkin; N. Saito
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Paper Abstract

We summarize the properties of the auto-correlation functions of compactly supported wavelets, their connection to iterative interpolation schemes, and the use of these functions for multiresolution analysis of signals. We briefly describe properties of representations using dilations and translations of these autocorrelation functions (the auto-correlation shell) which permit multiresolution analysis of signals.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); doi: 10.1117/12.131585
Show Author Affiliations
Gregory Beylkin, Univ. of Colorado/Boulder (United States)
N. Saito, Schlumberger-Doll Research (United States)


Published in SPIE Proceedings Vol. 1826:
Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods
David P. Casasent, Editor(s)

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