1 June 1992 Wavelets and adaptive signal processing
Howard L. Resnikoff
Author Affiliations +
Abstract
Compactly supported wavelet bases are sets of compactly supported functions that are orthonormal bases for a wide variety of function spaces, including signals that have finite energy or finite power. The theory of compactly supported wavelets is placed in its historical context. Wavelet matrices and wavelet functions of one and two variables are defined. The continuous, discrete, and finite wavelet transforms are contrasted with the corresponding Fourier transforms. A multirate digital filter interpretation is provided, and adaptive trees of wavelet filters are described.
Howard L. Resnikoff "Wavelets and adaptive signal processing," Optical Engineering 31(6), (1 June 1992). https://doi.org/10.1117/12.57515
Published: 1 June 1992
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Wavelets

Filtering (signal processing)

Fourier transforms

Electronic filtering

Signal processing

Digital filtering

Wavelet transforms

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