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On Wigner-based sparse time-frequency distributions
2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015Signals made of the superimposition of a reduced number of AM-FM components can be characterized by a time-frequency signature which consists of weighted trajectories in the plane, thus ending up with an ideal representation of their energy distribution that is intrinsically sparse.
Patrick Flandrin +2 more
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Comparison of measures of time-frequency distribution optimization
2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2016This article describes the problems of time-frequency representation optimization. The goal is to achieve compromise between good resolution and reduced cross terms. The quantitative measures used for this optimization are described. For the case of a simulated signal a measure based on mean squared error is proposed.
Stanislav Pikula, Petr Benes
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The running time-frequency distributions
Circuits Systems and Signal Processing, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Transition kernels for bilinear time-frequency distributions
IEEE Transactions on Signal Processing, 1991The author proposes a sequence of time-frequency signal representations which offer a continuous transition from time smoothed pseudo-Wigner-Ville distributions (PWVD) to a specified class of positive representations. This allows the selection of a representation which offers the desired tradeoff between the inherent localization properties of the PWVD
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1996
In this paper we consider the time frequency distributions of a class of operators on L-2(R), which we refer to as time-frequency periodic. By this we mean that they commute with a rectangular lattice subset of the Heisenberg-Weyl group, {D(nT, mF) : n, m is an element of Z}, for some fixed T, F is an element of R.
Sirianunpiboon, S, Howard, SD
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In this paper we consider the time frequency distributions of a class of operators on L-2(R), which we refer to as time-frequency periodic. By this we mean that they commute with a rectangular lattice subset of the Heisenberg-Weyl group, {D(nT, mF) : n, m is an element of Z}, for some fixed T, F is an element of R.
Sirianunpiboon, S, Howard, SD
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Properties of the positive time-frequency distribution functions
ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Joint positive distributions of time and frequency which satisfy the correct marginals exist and can be readily obtained. In this presentation we generalize the continuous case previously considered to the discrete time case and the two dimensional situation.
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Bilinear time-frequency distributions
1994One of the main features of wavelet and Gabor theories is that they aim at decomposing signals into elementary ones localized to a certain extent in the time-frequency plane. One way of making this notion of localization more precise is to use time-frequency distributions.
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Computing time-frequency distributions (signal analysis)
IEEE Transactions on Signal Processing, 1991Recently, numerous strategies have been proposed for computing discrete time-frequency distributions such as the Wigner distribution. The author describes an efficient and straightforward strategy for computing time-frequency distributions that are members of Cohen's class. The strategy is based on the work by A.H.
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Kernel estimation for Time-frequency distribution
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015Zeynel Deprem, A. Enis Çetin
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