DocumentCode :
697953
Title :
Quantitative evaluation of concentrated time-frequency distributions
Author :
Shafi, Imran ; Ahmad, Jamil ; Shah, Syed Ismail ; Kashif, Faisal M.
Author_Institution :
Centre for Adv. Studies in Eng., Islamabad, Pakistan
fYear :
2009
fDate :
24-28 Aug. 2009
Firstpage :
1176
Lastpage :
1180
Abstract :
This work objectively evaluates and presents a quantitative analysis of concentrated time-frequency distributions (TFDs) obtained through Network of Expert Neural Networks (NENNs). The objective methods include the ratio of norms based measures, Shannon & Rényi entropy measures, normalized Rényi entropy measure and Jubisa measure. The introduction of these measures allows quantifying the quality of TFDs instead of relying solely on visual inspection of their plots. Performance comparison with various other quadratic TFDs is provided too.
Keywords :
entropy; neural nets; signal processing; time-frequency analysis; Jubisa measure; NENN; Rényi entropy measures; Shannon entropy measures; concentrated TFD; concentrated time-frequency distributions; network of expert neural networks; normalized Rényi entropy measure; ratio of norm based measures; Abstracts; Magnetohydrodynamics; Speech; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2009 17th European
Conference_Location :
Glasgow
Print_ISBN :
978-161-7388-76-7
Type :
conf
Filename :
7077525
Link To Document :
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