Paper
22 October 1996 Multiple window time-frequency and time-scale analysis
Metin Bayram, Richard G. Baraniuk
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Metin Bayram and Richard G. Baraniuk "Multiple window time-frequency and time-scale analysis", Proc. SPIE 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI, (22 October 1996); https://doi.org/10.1117/12.255431
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Time-frequency analysis

Medium wave

Wavelets

Smoothing

Statistical analysis

Fourier transforms

Interference (communication)

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