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Time Frequency Signal Analysis Matlab Toolbox v.5.5
From The University of Queensland.
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DiscreteTFDs-parameterized time-frequency representation PTFR
from Jeffrey C. O'Neill
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The TFTB has been developed by François Auger, Olivier Lemoine, Paulo Gonçalvès and Patrick Flandrin under the auspices of the CNRS (Centre National de la Recherche Scientifique) within its GdR Information, Signal et Images. Parts of the Toolbox have also been written at Department of Electrical and Computer Engineering of Rice University with the support of the NSF. We would like to thank the people who helped in various ways.
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Algorithms for (Quadratic) Time–Frequency Distributions
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J.M. O’ Toole and B. Boashash, “Fast and memory-efficient algorithms for computing quadratic time–frequency distributions”, Applied and Computational Harmonic Analysis, Feb. 2013, doi:10.1016/j.acha.2013.01.003
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J.M. Oʼ Toole, M. Mesbah, and B. Boashash, “Improved discrete definition of quadratic time–frequency distributions,” IEEE Trans. on Signal Processing, vol. 58, Feb. 2010, pp. 906-911.
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J.M. O’ Toole, M. Mesbah, and B. Boashash, “A New Discrete Analytic Signal for Reducing Aliasing in the Discrete Wigner-Ville Distribution”, IEEE Trans. on Signal Processing, vol. 56, no. 11, pp. 5427-5434, Nov. 2008.
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J.M. Oʼ Toole, M. Mesbah, and B. Boashash, “Algorithms for discrete quadratic time–frequency distributions,” WSEAS Trans. Signal Processing, vol. 4, May. 2008, pp. 320-329.
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Fast and Memory Efficient Algorithms for Time–Frequency Distributions