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

Content Provider	IEEE Xplore Digital Library
Author	Saulig, N. Sucic, V. Boashash, B. Sersic, D.
Copyright Year	2013
Description	Author affiliation: Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia (Sersic, D.) \|\| Coll. of Eng., Qatar Univ., Doha, Qatar (Boashash, B.) \|\| Fac. of Eng., Univ. of Rijeka, Rijeka, Croatia (Saulig, N.; Sucic, V.)
Abstract	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.
Starting Page	435
Ending Page	441
File Size	1207537
Page Count	7
File Format	PDF
ISBN	9781467355407
DOI	10.1109/WoSSPA.2013.6602404
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-12
Publisher Place	Algeria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time-frequency analysis Estimation Educational institutions Entropy Frequency estimation Kernel
Content Type	Text
Resource Type	Article

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