Measures, performance assessment, and enhancement of TFDs

Boashash, B., Touati, S., Auger, F., Flandrin, P., Chassande-Mottin, E., Stankovic, L. J., Sucic, V., Khan, N., Sejdic, E., Sucic, V., Saulig, N., Shafi, I., Ahmad, J. and Shah, S. I. (2016). Measures, performance assessment, and enhancement of TFDs. In Boualem Boashash (Ed.), Time-frequency signal analysis and processing: a comprehensive reference Second edition ed. (pp. 387-452) London, United Kingdom: Academic Press. doi:10.1016/B978-0-12-398499-9.00007-8

Author Boashash, B.
Touati, S.
Auger, F.
Flandrin, P.
Chassande-Mottin, E.
Stankovic, L. J.
Sucic, V.
Khan, N.
Sejdic, E.
Sucic, V.
Saulig, N.
Shafi, I.
Ahmad, J.
Shah, S. I.
Title of chapter Measures, performance assessment, and enhancement of TFDs
Title of book Time-frequency signal analysis and processing: a comprehensive reference
Place of Publication London, United Kingdom
Publisher Academic Press
Publication Year 2016
Sub-type Research book chapter (original research)
DOI 10.1016/B978-0-12-398499-9.00007-8
Open Access Status Not yet assessed
Series EURASIP and Academic Press series in signal and image processing
Edition Second edition
ISBN 9780123984999
Editor Boualem Boashash
Chapter number 7
Start page 387
End page 452
Total pages 66
Total chapters 18
Language eng
Formatted Abstract/Summary
This chapter describes a number of time-frequency (t, f) performance quality measures specifically developed as criteria for performance enhancement for a given application. The adopted performance measures are defined using objective criteria followed by time-frequency distribution (TFD) enhancement methods to improve the (t, f) concentration, resolution, and readability of TFDs. The topic is covered in nine sections. Hyperbolic FM signals are well described by the affine Wigner-Ville distribution (WVD), a method related to time-scale analysis and the wavelet transform (Section 7.1). A general procedure for enhancing the time-frequency resolution and readability of TFDs is the reassignment principle described in Section 7.2. Techniques for measuring the concentration of TFDs and for automatic optimization of their parameters are presented based on entropy measures (Section 7.3). Another approach defines a resolution performance measure using local measurements in the (t, f) domain, such as relative amplitudes of auto-terms and cross-terms (Section 7.4). Then, a comparison of postprocessing methods in the (t, f) domain is presented (Section 7.5). The last four topics focus on time-frequency compressive sensing (Section 7.6); signal complexity estimation using (t, f) entropy measures (Section 7.7); time-frequency analysis using neural networks (Section 7.8); and attempts to unify time-frequency, time-scale, filter banks, wavelets, and the discrete-time Gabor transform using product functions and cascaded frames are presented briefly as they may assist in the selection of the best-performing method for a given application (Section 7.9).
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status UQ

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