Results 231 to 240 of about 146,305 (262)

Robust subspace estimation in non-Gaussian noise

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002
Subspace methods are common in array processing, but standard schemes typically perform poorly when the noise is non-Gaussian and/or impulsive. Zero-memory nonlinear (ZMNL) functions may be applied to limit the influence of impulsive noise, but ZMNL pre-processing generally destroys the low-rank signal subspace.
Richard J. Kozick, Brian M. Sadler
openaire   +1 more source

The response of linear systems to non-Gaussian noise

Transactions of the IRE Professional Group on Information Theory, 1954
A fairly broad class of problems deals with the way certain properties of noise are altered on passage through a linear system. Fig. l defines these properties. If any n instants of time are chosen and if boundary value problems of the zero crossing type are omitted, the specification of the n dimensional probability distribution yields the most ...
B. Gold, G. O. Young
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High-order filters for estimation in non-Gaussian noise

Information Sciences, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas W. Hilands, Stelios C. A. Thomopoulos   +1 more
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Wavelet thresholding for some classes of non–Gaussian noise

Statistica Neerlandica, 2002
Wavelet shrinkage and thresholding methods constitute a powerful way to carry out signal denoising, especially when the underlying signal has a sparse wavelet representation. They are computationally fast, and automatically adapt to the smoothness of the signal to be estimated.
Antoniadis, Anestis, Leporini, David, Pesquet, Jean-Christophe   +2 more
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Face Recognition in the Presence of Non-Gaussian Noise [PDF]

Computer Modeling and Intelligent Systems, 2021
Oleg Rudenko, Oleksandr Bezsonov, Denys Yakovliev   +2 more
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Non-Gaussian noise in quantum wells

SPIE Proceedings, 2007
Gaussian generation-recombination is accepted to be a dominant mechanism of current noise source in quantum well systems biased by electric field normal to the layers. Recent experiments in n-type and p-type multiple quantum wells have revealed an additional pronouncedly non-Gaussian excess current noise with a low cut-off frequency in the kHz ...
A. Ben Simon, Y. Paltiel, G. Jung, H. Schneider   +3 more
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Adaptive phase estimation in non-Gaussian noise

Signal Processing, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On nonlinear estimation in presence of non-Gaussian Noise

ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
An algorithm for optimal estimation in presence of non-Gaussian observation noise is presented. The algorithm, based on Bayes' recursion formula is implemented numerically. The filter is shown to be superior to the Kalman Filter when applied to the same system. It has been shown that the steady state estimation error is zeros.
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Discriminability of non-Gaussian noise properties in CT

Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment, 2023
Kirsten L. Boedeker, Daniel W. Shin, Luuk J. Oostveen, Ioannis Sechopoulos, Craig K. Abbey   +4 more
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An enhanced modulation signal bispectrum analysis for bearing fault detection based on non-Gaussian noise suppression

Measurement: Journal of the International Measurement Confederation, 2020
Junchao Guo, Dong Zhen, Zhanqun Shi
exaly