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

Autori
Saulig, Nicoletta ; Sučić, Viktor ; Stanković, Srdjan ; Orović, Irena ; Boashash, Boualem

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on / - , 2012

Skup
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on

Mjesto i datum
Beč, Austrija, 11.04.2012. - 13.04.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Component; nonstationary signals; timefrequency distributions; Rényi entropy; complexity

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA