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Proceedings Paper

Multiple window time-frequency and time-scale analysis
Author(s): Metin Bayram; Richard G. Baraniuk
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Paper Abstract

We propose an extension of Thomson's multiple window spectrum estimation for stationary random processes to the time-varying spectrum estimation of non-stationary random processes. Unlike previous extensions of Thomson's method, in this paper we identify and utilize optimally concentrated window and wavelet functions for the time-frequency and time-scale planes respectively. Moreover, we develop a statistical test for detecting and extracting chirping line components.

Paper Details

Date Published: 22 October 1996
PDF: 12 pages
Proc. SPIE 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI, (22 October 1996); doi: 10.1117/12.255431
Show Author Affiliations
Metin Bayram, Rice Univ. (United States)
Richard G. Baraniuk, Rice Univ. (United States)

Published in SPIE Proceedings Vol. 2846:
Advanced Signal Processing Algorithms, Architectures, and Implementations VI
Franklin T. Luk, Editor(s)

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