Renyi Entropy of quadratic time-frequency distributions: Effects of signal's parameters

M. B. Malarvili, V. Sucic, M. Mesbah, B. Boashash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

The Renyi Entropy (Er) of a time-frequency distribution (TFD) has been used for estimating the signal information content and the TFD complexity in the time-frequency (TF) plane. In this paper we provide an experimental comparison of the performance of Er obtained from Wigner-Ville distribution (WVD), Spectrogram (SP), Choi-William Distribution (CWD), Born-Jordan Distribution (BJD) and Modified B Distribution (MBD). The performances are tested on two component Gabor logon and LFM signals with the goal of illustrating the effects on Er obtained from different TFDs when signal's TF parameters varies. The presented analysis shows that high-resolution TFDs, such as the MBD, result into consistent Er measures.

Original languageEnglish
Title of host publication2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
DOIs
Publication statusPublished - 2007
Event2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007 - Sharjah, United Arab Emirates
Duration: Feb 12 2007Feb 15 2007

Other

Other2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007
CountryUnited Arab Emirates
CitySharjah
Period2/12/072/15/07

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ASJC Scopus subject areas

  • Signal Processing

Cite this

Malarvili, M. B., Sucic, V., Mesbah, M., & Boashash, B. (2007). Renyi Entropy of quadratic time-frequency distributions: Effects of signal's parameters. In 2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings [4555370] https://doi.org/10.1109/ISSPA.2007.4555370