Results 161 to 170 of about 4,408 (211)

On the Wigner distribution

ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Recently the Wigner Distribution has been shown to be a potentially useful tool for analyzing time varying frequency domain phenomenon. In this paper the Wigner distribution is presented, properties of the important discrete distribution are derived, and an efficient digital implementation is presented.
David B. Chester, Fred J. Taylor, Mike Doyle   +2 more
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Affine Wigner distributions

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992
A symmetrized version of the wideband ambiguity function is proposed, by observing the relationship between ambiguity functions and the theory of certain groups. Its 2-D Fourier transform has properties similar to the Wigner distribution, and it is called the affine Wigner distribution, by analogy.
Ramachandra G. Shenoy, Thomas W. Parks
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The robust Wigner distribution

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002
The standard short-time Fourier transform and the Wigner distribution can be obtained as solutions of the minimization problem, with the absolute square error as a loss function. It has been shown that some other loss functions, like for example the absolute error, can produce more robust results in the case of signals corrupted with impulse, heavy ...
Ljubisa Stankovic, Igor Djurovic, Srdjan Stankovic   +2 more
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Dynamics using the Wigner distribution

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
A new method is described to study dynamical systems characterized by linear ordinary differential equations. The method is aimed at studying the time-varying properties of the resulting solution of the differential equation. In contrast to the standard methods where one solves the differential equation and then uses a time-frequency distribution, for ...
GALLEANI, Lorenzo, COHEN L.
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Statistical performance of the wigner-ville distribution and the cross Wigner-Ville distribution

Journal of Shanghai University (English Edition), 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Guanghua, Cao, Jialin
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Wigner distribution for random systems

Journal of Modern Optics, 2002
We use the Wigner distribution to study systems subjected to random forces. We define the instantaneous spectrum as the ensemble average of the Wigner distribution, and we write the differential equation whose solution gives us the time-varying spectrum of the state variable. We consider the cases of both constant and time-varying coefficients.
GALLEANI, Lorenzo, COHEN L.
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Wigner distribution of noisy signals

IEEE Transactions on Signal Processing, 1993
The effect of noise on the Wigner distribution is analyzed. The mean and variance of the Wigner distribution of signals contaminated by additive noise are derived. It is shown that in the case of white noise the Wigner distribution calculated by definition calculated by definition cannot be used for estimation.
Ljubisa Stankovic, Srdjan Stankovic
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On the optimality of the Wigner distribution for detection

ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
A variety of methods have been proposed for the detection of a signal, with unknown signal parameters, in a noisy environment. In this paper, the noise statistics are incorporated to reveal that certain processing of the Wigner distribution (WD) signal representation can lead to an optimal, and often easy to compute, detection scheme.
Kay, Steven, Boudreaux-Bartels, G. Faye
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On the existence of discrete Wigner distributions

IEEE Signal Processing Letters, 1999
Among the myriad of time-frequency distributions, the Wigner distribution stands alone in satisfying many desirable mathematical properties. Attempts to extend definitions of the Wigner distribution to discrete signals have not been completely successful.
Jeffrey C. O'Neill, Patrick Flandrin, William J. Williams   +2 more
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On computing the smoothed Wigner distribution

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
In this paper, some aspects of the implementation of Wigner Distribution (WD) are discussed. In general, it is necessary to smooth the WD in order to study the underlying nature of the signal. It is shown that the WD smoothed for positivity is equivalent to a spectrogram in terms of time and frequency resolutions.
H. Garudadri, Michael P. Beddoes, A.-P. Benguerel, J. H. V. Gilbert   +3 more
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