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

Saulig, N., Sucic, V., Stanković, S., Orović, I. and Boashash, B. (2012). Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution. In: 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP 2012). Proceedings. IWSSIP 2012: 19th International Conference on Systems, Signals and Image Processing, Vienna, Austria, (354-357). 11-13 April, 2012.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
Author Saulig, N.
Sucic, V.
Stanković, S.
Orović, I.
Boashash, B.
Title of paper Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution
Conference name IWSSIP 2012: 19th International Conference on Systems, Signals and Image Processing
Conference location Vienna, Austria
Conference dates 11-13 April, 2012
Proceedings title 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP 2012). Proceedings
Journal name Proceedings of the International Conference on Systems, Signals, and Image Processing
Place of Publication Piscataway, NJ, USA
Publisher Institute of Electrical and Electronic Engineers
Publication Year 2012
Sub-type Fully published paper
ISBN 9781457721915
9783200023284
9783200025882
ISSN 2157-8672
2157-8702
Start page 354
End page 357
Total pages 4
Language eng
Formatted Abstract/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.
Subjects 1707 Computer Vision and Pattern Recognition
1711 Signal Processing
Keyword Component
Nonstationary signals
Time-frequency distributions
Rényi entropy
Complexity
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: UQ Centre for Clinical Research Publications
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Thu, 28 Nov 2013, 16:21:15 EST by System User on behalf of UQ Centre for Clinical Research