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The response of linear systems to non-Gaussian noise
Transactions of the IRE Professional Group on Information Theory, 1954A 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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Neural detectors for signals in non-Gaussian noise
IEEE International Conference on Acoustics Speech and Signal Processing, 1993The authors demonstrate that a neural network can be trained for the purpose of detecting a known signal corrupted by additive Gaussian as well as non-Gaussian noise of the impulse type. It is shown that, in the presence of Gaussian noise, the performance of a properly trained neural network is very similar to that of the optimum matched filter ...
Viswanath Ramamurti +2 more
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Face Recognition in the Presence of Non-Gaussian Noise [PDF]
Computer Modeling and Intelligent Systems, 2021 Oleg Rudenko +2 more
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Wavelet thresholding for some classes of non–Gaussian noise
Statistica Neerlandica, 2002Wavelet 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 +2 more
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High-order filters for estimation in non-Gaussian noise
Information Sciences, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Thomas W. Hilands +1 more
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Adaptive phase estimation in non-Gaussian noise
Signal Processing, 1995zbMATH 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, 2005An 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, 2023Kirsten L. Boedeker +4 more
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A Novel Underwater Acoustic Signal Denoising Algorithm for Gaussian/Non-Gaussian Impulsive Noise
IEEE Transactions on Vehicular Technology, 2021Xinghai Yang +2 more
exaly
Non-Gaussian Noise in Superconducting Circuits
2023In stark contrast to man-made systems, living things embrace noise and use it to further their functionality. It is therefore not surprising that some lifeforms couple strongly to environmental fluctuations, and can leverage non-Gaussian noise to gain a competitive edge over their peers.
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