Results 281 to 290 of about 2,232,503 (310)

The running time-frequency distributions

Circuits Systems and Signal Processing, 1995
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Transition kernels for bilinear time-frequency distributions

IEEE Transactions on Signal Processing, 1991
The 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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Properties of the positive time-frequency distribution functions

ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Joint 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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Computing time-frequency distributions (signal analysis)

IEEE Transactions on Signal Processing, 1991
Recently, 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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Time-frequency Distributions Of Time-frequency Periodic Operators And The Discrete Gabor Transformation.

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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Bilinear time-frequency distributions

1994
One 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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Enhancement of time-frequency post-processing readability for nonstationary signal analysis of rotating machinery: Principle and validation

Mechanical Systems and Signal Processing, 2022
Dong Zhang, Zhipeng Feng
exaly  

Kernel estimation for Time-frequency distribution

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Zeynel Deprem, A. Enis Çetin
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Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples

Mechanical Systems and Signal Processing, 2013
Zhipeng Feng, Ming Liang, Fulei Chu
exaly  

Spline-Kernelled Chirplet Transform for the Analysis of Signals With Time-Varying Frequency and Its Application

IEEE Transactions on Industrial Electronics, 2012
Zhike Peng, W M Zhang
exaly