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Proceedings Paper

Design of orthonormal wavelets with better time-frequency resolution
Author(s): Hui Xie; Joel M. Morris
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Paper 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.

Paper Details

Date Published: 15 March 1994
PDF: 10 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170088
Show Author Affiliations
Hui Xie, Univ. of Maryland/Baltimore County (United States)
Joel M. Morris, Univ. of Maryland/Baltimore County (United States)

Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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