2016 IEEE International Conference on Signal and Image Processing (ICSIP) 2016
DOI: 10.1109/siprocess.2016.7888326
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Time-frequency characteristics of PSWF with Wigner-Ville Distributions

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Cited by 4 publications
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“…The main member of this class is the Wigner-Ville distribution (WVD). All other timefrequency conversions can be written as a smoothed version of WVD [17,[22][23][24]. WVD provides many of the features required for some specific applications of non-stationary signal analysis.…”
Section: Wigner Ville Distributionmentioning
confidence: 99%
“…The main member of this class is the Wigner-Ville distribution (WVD). All other timefrequency conversions can be written as a smoothed version of WVD [17,[22][23][24]. WVD provides many of the features required for some specific applications of non-stationary signal analysis.…”
Section: Wigner Ville Distributionmentioning
confidence: 99%
“…The compact kernels which are confined in both time and frequency (TF) domains, are highly desired for several applications in the field of signal processing [1] and communication [2] such as filter design [3,4], spectral estimation [5,6], time-frequency analysis [7][8][9], windowing at the transmitter and receiver in wireless communication system [10], windowed OFDM [10], etc. It often requires to design sharp spectral roll-off filters which are simultaneously compact in time domain [11].…”
Section: Introductionmentioning
confidence: 99%