DETECTING THE NUMBER OF COMPONENTS IN A NONSTATIONARY SIGNAL USING THE RNYI ENTROPY OF ITS TIME-FREQUENCY DISTRIBUTIONS

被引：0

作者：

Korac, Dragan ^{[1
]}

Saulig, Nicoletta ^{[1
]}

Sucic, Viktor ^{[1
]}

Sersic, Damir ^{[2
]}

Stankovic, Srdan ^{[3
]}

机构：

[1] Univ Rijeka, Fac Engn, Vukovarska 58, HR-51000 Rijeka, Croatia

[2] Univ Zagreb, Fac Elect Engn & Comp, HR-10000 Zagreb, Croatia

[3] Univ Montenegro, Fac Elect Engn, MNE-81000 Podgorica, Montenegro

来源：

ENGINEERING REVIEW | 2012年 / 32卷 / 01期

关键词：

nonstationary signals; time-frequency distributions; Renyi entropy;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A time-frequency distribution provides many advantages in the analysis of multicomponent nonstationary signals. The simultaneous signal representation with respect to the time and frequency axis defines the signal amplitude, frequency, bandwidth, and the number of components at each time moment. The Renyi entropy, applied to a time-frequency distribution, is shown to be a valuable indicator of the signal complexity. The aim of this paper is to determine which of the treated time- frequency distributions (TFDs) (namely, the Wigner-Ville distribution, the Choi-Williams distribution, and the spectrogram) has the best properties for estimation of the number of components when there is no prior knowledge of the signal. The optimal Renyi entropy parameter a is determined for each TFD. Accordingly, the effects of different time durations, bandwidths and amplitudes of the signal components on the Renyi entropy have been analysed. The concept of a class, when the Renyi entropy is applied to TFDs, is also introduced.

引用

页码：23 / 31

页数：9

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