Multiple window time-frequency and time-scale analysis

Metin Bayram; Richard G. Baraniuk

doi:10.1117/12.255431

22 October 1996 Multiple window time-frequency and time-scale analysis

Metin Bayram, Richard G. Baraniuk

Proceedings Volume 2846, Advanced Signal Processing Algorithms, Architectures, and Implementations VI; (1996) https://doi.org/10.1117/12.255431
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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.

Citation Download Citation

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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