Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution (CROSBI ID 592704)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Saulig, Nicoletta ; Sučić, Viktor ; Stanković, Srdjan ; Orović, Irena ; Boashash, Boualem
engleski
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 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.
Component; nonstationary signals; timefrequency distributions; Rényi entropy; complexity
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Podaci o prilogu
2012.
objavljeno
Podaci o matičnoj publikaciji
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
Podaci o skupu
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
predavanje
11.04.2012-13.04.2012
Beč, Austrija