Results 131 to 140 of about 19,683 (177)
IEE Proceedings - Vision, Image, and Signal Processing, 1996 A new fast algorithm is proposed to compute pseudodiscrete Wigner-Ville distribution (PDWVD) in real-time applications. The proposed algorithm uses the moving discrete Hartley transform to compute the Hilbert transform and thereby implements the PDWVD in real domain.
K.M.M. Prabhu, R. Shanmuga Sundaram
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Efficient computation of the 2-D discrete pseudo-Wigner distribution by the fast Hartley transform
Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995, 2002 Wigner distribution (WD) is useful in analyzing and processing nonstationary signals. In this paper the fast Hartley transform (FHT) approach for computing the one-dimensional discrete pseudo-Wigner distribution (1D DPWD) is extended to compute the two-dimensional (2-D) DPWD and a new fast algorithm is presented for computing the 2-D DPWD by the 2-D ...
null Yiquan Wu, null Zhaoda Zhu
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2020 IEEE 9th Power India International Conference (PIICON), 2020 This research work presents a current based approach using discrete wavelet transform and Wigner distribution function for detection and classification of transmission line faults. Algorithm is tested for different case studies such as variations in fault location on transmission line, variations in fault impedance and event of reverse power flow.
Nikita Tailor +2 more
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A non-aliased discrete-time Wigner distribution for time-frequency signal analysis
ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005 The Wigner Distribution (WD) is a signal transformation which has its origin in quantum mechanics. It possesses some important properties which make it very attractive for time-frequency signal analysis. The WD was originally defined for continuous-time signals. A discrete-time version of it was proposed recently [6].
D. Chan
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Elimination of interference terms of the discrete Wigner distribution using nonlinear filtering
IEEE Transactions on Signal Processing, 2000 Summary: Methods for interference reduction in the Wigner distribution (WD) have traditionally relied on linear filtering. This paper introduces a new nonlinear filtering approach for the removal of cross terms in the discrete WD. Realizing that linear smoothing kernels are unable to completely cancel the cross-terms without compromising time-frequency
Arce, Gonzalo R., Hasan, Syed Rashid
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Alias-Free Wigner Distribution Function and Complex Ambiguity Function for Discrete-Time Samples
, 1989 Abstract : If an arbitrary complex continuous waveform s(t) with finite overall frequency extent F Hertz is sampled with time increment Delta . On the other hand, it is commonly believed that aliasing of the corresponding Wigner distribution function (WDF) can only be avoided by sampling twice as fast; i.e., Delta < 1/(2F) is thought to be required ...
Albert H. Nuttall
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The development of a discrete transform for the Wigner distribution and ambiguity function
The Journal of the Acoustical Society of America, 1988 A theoretical basis for the development of the discrete Wigner distribution and ambiguity function is presented that is based on the temporal and spectral properties of the two-dimensional Wigner kernel function. This two-dimensional description is helpful in visualizing the various functions and shows that the increase in the number of points required
Mark A. Poletti
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Efficient computation of the discrete Wigner distribution function through a new iterative algorithm
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002 This paper presents a new iterative method to speed up the DWDF computation. At present it has been considered from a computational point of view as a 1-D section of the Wigner kernel (WK)N point FTs. We purpose a new way to compute the DWDF based on the symmetry properties of the WK and the cosine function.
I. Garcia +4 more
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ELIMINATION OF CROSS TERMS OF THE DISCRETE WIGNER DISTRIBUTION USING MULTIWAVELETS
, 2005 FENG SU, CHANGWEN QU, YOU HE
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