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Optical Engineering

New wavelet transform normalization to remove frequency bias
Author(s): Brian A. Telfer; Harold H. Szu
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Paper Abstract

A new wavelet transform normalization procedure is proposed for the construction of a weighted bank of correlation filters. The standard normalization results in lower input frequencies producing larger wavelet transform magnitudes for equal-amplitude frequencies, while the new normalization produces equal responses as desired. This is illustrated with examples of Gibbs overshooting phenomenon and a cocktail party effect. A derivation is given to show that an inverse transform still exists when using the new normalization.

Paper Details

Date Published: 1 September 1992
PDF: 5 pages
Opt. Eng. 31(9) doi: 10.1117/12.59912
Published in: Optical Engineering Volume 31, Issue 9
Show Author Affiliations
Brian A. Telfer, Naval Surface Warfare Ctr. (United States)
Harold H. Szu, Naval Surface Warfare Ctr. (United States)

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