Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution

A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the signal complexity, quantified as the number of components in the signal. This paper describes a method for the estimation of this number of components of a signal using the short-term Rényi entropy of...

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Bibliographic Details
Main Authors: Saulig, N., Sucic, V., Stankovic, S., Orovic, I., Boashash, B.
Format: Conference Proceeding
Language:English
Subjects:
Bandwidth
complexity
Educational institutions
Entropy
Estimation
nonstationary signals
Rényi entropy
Signal processing algorithms
Solids
Time frequency analysis
time-frequency distributions
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Summary:A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the signal complexity, quantified as the number of components in the signal. This paper describes a method for the estimation of this number of components of a signal using the short-term Rényi entropy of its time-frequency distribution (TFD). We focus on the characteristics of TFDs that make them suitable for such a task. The performance of the proposed algorithm is studied with respect to the parameters of the S-method TFD, which combines the virtues of both the spectrogram and the Wigner-Ville distribution. Once the optimal parameters of the TFD have been determined, the applicability of the method in the analysis of signals in low SNRs and real life signals is assessed.
ISSN:2157-8672