Results 101 to 110 of about 730 (153)
Roundoff error analysis of the discrete Wigner distribution using fixed-point arithmetic
IEEE Transactions on Signal Processing, 1991 The issue of roundoff noise effects in the implementation of the discrete Wigner distribution using fixed-point arithmetic is addressed. The sign-magnitude number representation is assumed throughout the analysis. The measure of roundoff noise effects in an algorithm is the output noise-to-signal ratio.
C. Griffin, P. Rao, F. Taylor
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Elimination of cross-components of the discrete Wigner-Ville distribution via a correlation method
Proceedings of Third International Conference on Signal Processing (ICSP'96), 2002 This paper presents a method to remove cross-components produced by the discrete Wigner-Ville distribution (WVD). The procedure consists of considering the WVD as an image and assigning each pixel to either an auto-component or a cross-component according to a correlation coefficient. This coefficient measures the correlation between the time-frequency
Edith Grall‐Maës, Pierre Beauseroy
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Fast algorithm for pseudodiscrete Wigner–Ville distribution using moving discrete Hartley transform
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, Ravi Sundaram
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IEEE Transactions on Acoustics, Speech, and Signal Processing, 1986 Various discrete definitions of the Wigner distribution (WD) for discrete-time signals have been proposed in previous works. The formulation developed in this paper leads to natural and unified definitions of discrete versions of the WD. They are directly related to the continuous and preserve most of its properties.
Françoise Peyrin, R. Prost
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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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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 ...
Yiquan Wu, Zhaoda Zhu
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Efficient computation of the discrete pseudo-Wigner distribution
International Conference on Acoustics, Speech, and Signal Processing, 1989 The authors introduce an autocomponent selection (ACS) algorithm to remove the cross-components produced by the discrete pseudo-Wigner distribution (DPWD). The ACS treats the DPWD as an image with polarity. This image is processed with an averaging filter to eliminate negative values.
Mingui Sun +3 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
Gonzalo R. Arce, Syed Rizwan-ul- Hasan
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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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