Advanced implementation and realization of TFDs

Boashash, B., Putland, G. R., Stankovic, L. J., Bastiaans, M. J., Van Leest, A. J., Williams, W. J., Aviyente, S., Putland, G. R. and O'Toole, J. M. (2016). Advanced implementation and realization of TFDs. In Boualem Boashash (Ed.), Time-frequency signal analysis and processing: a comprehensive reference Second edition ed. (pp. 331-385) Amsterdam, Netherlands: Academic Press. doi:10.1016/B978-0-12-398499-9.00006-6

Author Boashash, B.
Putland, G. R.
Stankovic, L. J.
Bastiaans, M. J.
Van Leest, A. J.
Williams, W. J.
Aviyente, S.
Putland, G. R.
O'Toole, J. M.
Title of chapter Advanced implementation and realization of TFDs
Title of book Time-frequency signal analysis and processing: a comprehensive reference
Place of Publication Amsterdam, Netherlands
Publisher Academic Press
Publication Year 2016
Sub-type Research book chapter (original research)
DOI 10.1016/B978-0-12-398499-9.00006-6
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 6
Start page 331
End page 385
Total pages 55
Total chapters 18
Collection year 2017
Language eng
Formatted Abstract/Summary
Algorithms and computational issues are the keys to efficiently utilizing the properties of time-frequency distributions (TFDs) for real-life applications. This chapter presents therefore the needed procedures, techniques, and methodologies for the effective implementation of such timefrequency (t, f) methods. The topic is covered in six sections with appropriate cross-referencing. The discrete-time equivalent formulation of quadratic TFDs is defined for the purpose of digital computation (Section 6.1). An alternative method for realization of quadratic TFDs uses the short-time Fourier transform (STFT) as a basis (Section 6.2). The Gabor time-frequency representation may be expanded on a rectangular lattice, using the Fourier and Zak transforms for direct implementations (Section 6.3). The computation of other quadratic TFDs can also be done by using a spectrogram decomposition method (Section 6.4). Finally, the computational procedure for implementing quadratic time frequency methods directly is outlined, along with the required algorithms and MATLABTM code fragments (Section 6.5). The last section focuses on the design of memory-efficient algorithms to implement discrete-time TFDs to deal with the issues of memory limitations when processing large amount of data in applications such as biomedicine, telecommunications, or geophysics (Section 6.6).
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Book Chapter
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