1 September 1992 New wavelet transform normalization to remove frequency bias
Author Affiliations +
Optical Engineering, 31(9), (1992). doi:10.1117/12.59912
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.
Brian A. Telfer, Harold H. Szu, "New wavelet transform normalization to remove frequency bias," Optical Engineering 31(9), (1 September 1992). http://dx.doi.org/10.1117/12.59912
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KEYWORDS
Wavelets

Wavelet transforms

Optical filters

Fourier transforms

Image filtering

Signal to noise ratio

Interference (communication)

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