Multiple Window Time-Frequency and Time-Scale Analysis
نویسندگان
چکیده
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 timescale planes respectively. Moreover, we develop a statistical test for detecting and extracting chirping line components.
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