Paper
15 March 1994 Design of orthonormal wavelets with better time-frequency resolution
Hui Xie, Joel M. Morris
Author Affiliations +
Abstract
The signal decomposition techniques are an important tool for analyzing nonstationary signals. The time-frequency resolution of the decomposition basis functionals is essential to a variety of signal processing applications. The recently introduced wavelet transform is a very promising tool for signal analysis, but little attention has been paid to the time-frequency resolution property of wavelets. This paper describes a procedure to design wavelets with better time-frequency resolution. Some design examples and comparisons with traditional wavelets are also presented.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui Xie and Joel M. Morris "Design of orthonormal wavelets with better time-frequency resolution", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170088
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Cited by 20 scholarly publications.
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KEYWORDS
Wavelets

Time-frequency analysis

Filtering (signal processing)

Signal processing

Image compression

Optical filters

Signal analysis

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