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AuthorSaulig, N.
AuthorSucic, V.
AuthorStanković, S.
AuthorOrović, I.
AuthorBoashash, B.
Available date2022-05-31T19:01:40Z
Publication Date2012
Publication Name2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012
ResourceScopus
URIhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84863915653&partnerID=40&md5=65942e63b278582a868759824347638a
URIhttp://hdl.handle.net/10576/31938
AbstractA 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
Languageen
SubjectAnalysis of signal
complexity
Key characteristics
Life signals
Nonstationary signals
Number of components
Optimal parameter
S-method
Signal complexity
Signal content
Spectrograms
Time frequency
Time frequency domain
Time-frequency distributions
Algorithms
Entropy
Image processing
Robustness (control systems)
Wigner-Ville distribution
Frequency estimation
TitleSignal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution
TypeConference Paper
Pagination354-357
dc.accessType Abstract Only


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