Analysis of local time-frequency entropy features for nonstationary signal components time supports detection
Author | Sucic, Victor |
Author | Saulig, Nicoletta |
Author | Boashash, Boualem |
Available date | 2016-05-26T12:20:03Z |
Publication Date | 2014-11 |
Publication Name | Digital Signal Processing: A Review Journal |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1016/j.dsp.2014.07.013 |
Citation | Sucic, V., Saulig, N., Boashash, B. "Analysis of local time-frequency entropy features for nonstationary signal components time supports detection" (2014) Digital Signal Processing: A Review Journal, 34, pp. 56-66. |
ISSN | 1051-2004 |
Abstract | Identification of different specific signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This can be done by applying the local time-frequency-based Rényi entropy for estimation of the instantaneous number of components in a signal. Using the spectrogram, one of the most simple quadratic time-frequency distributions, the paper proves the local applicability of the counting property of the Rényi entropy. The paper also studies the influence of the entropy order and spectrogram parameters on the estimation results. Numerical simulations are provided to quantify the observed behavior of the local entropy in the case of intersecting components. The causes of decrements in the local number of time supports in the time-frequency plane are also studied. Finally, results are provided to illustrate the findings of the study and its potential use as a key step in multicomponent instantaneous frequency estimation. |
Sponsor | Qatar Foundation under grant NPRP 06-885-2-364. Optimization and Design of Time-Frequency Distributions (No. 069-0362214-1575), the Ministry of Science, Education and Sports of the Republic of Croatia. |
Language | en |
Publisher | Elsevier Inc. |
Subject | Component number Renyi entropy Spectrogram Time-frequency |
Type | Article |
Pagination | 56-66 |
Volume Number | 34 |
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