A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures

Saulig, Nicoletta, Sucic, Victor, Boashash, Boualem and Sersic, Damir (2013). A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures. In: Systems, Signal Processing and their Applications (WoSSPA), 2013 8th International Workshop on. 8th International Workshop on Systems, Signal Processing and Their Applications, WoSSPA 2013, Algiers, Algeria, (435-441). 12 - 15 May 2013. doi:10.1109/WoSSPA.2013.6602404

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Author Saulig, Nicoletta
Sucic, Victor
Boashash, Boualem
Sersic, Damir
Title of paper A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures
Conference name 8th International Workshop on Systems, Signal Processing and Their Applications, WoSSPA 2013
Conference location Algiers, Algeria
Conference dates 12 - 15 May 2013
Proceedings title Systems, Signal Processing and their Applications (WoSSPA), 2013 8th International Workshop on
Journal name 2013 8th International Workshop on Systems, Signal Processing and Their Applications, WoSSPA 2013
Place of Publication Piscataway, NJ United States
Publisher I E E E
Publication Year 2013
Year available 2013
Sub-type Fully published paper
DOI 10.1109/WoSSPA.2013.6602404
Open Access Status
ISBN 9781467355407
Start page 435
End page 441
Total pages 7
Collection year 2014
Language eng
Abstract/Summary Separation of different signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This paper proposes a fully automatic undetermined blind source separation method, based on a peak detection and extraction technique from a signal time-frequency distribution (TFD). Information on the local number of components is obtained from the TFD Short-term Rényi entropy. It also allows to detect components time supports in the time-frequency plane, with no need for predefined thresholds on the components amplitude. This approach allows to extract different signal components without prior knowledge about the signal. The method is also used as a quality criterion to compare Quadratic TFDs. Results for synthetic and real data are reported for different TFDs, including the recently introduced Extended Modified B distribution.
Subjects 1706 Computer Science Applications
1711 Signal Processing
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Collections: UQ Centre for Clinical Research Publications
Official 2014 Collection
 
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Created: Thu, 28 Nov 2013, 20:22:45 EST by System User on behalf of UQ Centre for Clinical Research