Results 91 to 100 of about 6,708 (120)

Weak non-Gaussian approximation

Physical Review E, 1995
A superposition of Gaussian functionals is considered as a trial functional for the Bogoliubov inequality. The direct optimization of the Bogoliubov inequality generates a non-Gaussian approximation. This function may be strongly non-Gaussian but the kernel is the same as the usual one, up to a multiplicative constant.
, Vasil'ev, , Dawson
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Coloring Non-Gaussian Sequences

IEEE Transactions on Signal Processing, 2008
We propose a novel method for generating random sequences matching both a target non-Gaussian distribution and a target autocorrelation. In the proposed scheme, samples matching the target distribution are drawn independently and then suitably rearranged to match the target autocorrelation.
José Cândido Silveira Santos Filho, Michel Daoud Yacoub   +1 more
openaire   +1 more source

DETECTION OF NON-GAUSSIAN PROCESSES IN NON GAUSSIAN NOISE

1963
Abstract : The detection of stochastic processes in noise is considered, under the assumption that neither the signal nor the noise need be Gaussian. The detector structure is found in terms of the semiinvariants of the signal and noise processes. The general detector structure is extremely complicated, but a threshold form may be obtained.
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Emergence of Non-Gaussianity in Turbulence

2017
Fully developed turbulence is characterized by markedly non-Gaussian statistics. Here, we discuss some aspects of the relation between non-Gaussianity, the emergence of coherent structures and phase correlations in turbulence. Direct numerical simulations of homogeneous isotropic turbulence are used to demonstrate a fairly rapid emergence of non ...
Wilczek, M., Vlaykov, D., Lalescu, C.
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Non-Gaussian fluctuations in opsins

2013 22nd International Conference on Noise and Fluctuations (ICNF), 2013
We investigate conductance fluctuations of two transmembrane proteins, bacteriorhodopsin and proteorhodopsin, belonging to the family of opsins. These proteins are sensitive to visible light and are promising biomaterials for the realization of novel photodevices.
ALFINITO, ELEONORA, POUSSET, JEREMY, REGGIANI, Lino   +2 more
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On non-Gaussian innovations processes for observations with non-Gaussian noise

1986 25th IEEE Conference on Decision and Control, 1986
It is well-known that for observations with additive Gaussian noise, the innovations process is a Brownian motion process which, under certain conditions, has the same information as the observation. In this paper, it is shown that for observations with non-Gaussian noise, a Brownian motion process cannot be informationally equivalent to the ...
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A Gaussian Feature Analytics-Based DISSIM Method for Fine-Grained Non-Gaussian Process Monitoring

IEEE Transactions on Automation Science and Engineering, 2020
Chunhui Zhao, Jie Wang
exaly  

Non-Gaussian Tensor Programs

Advances in Neural Information Processing Systems 35, 2022
Eugene A. Golikov, Greg Yang
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Gaussian sum particle filtering

IEEE Transactions on Signal Processing, 2003
P M Djuric
exaly  

Gaussian process modelling with Gaussian mixture likelihood

Journal of Process Control, 2019
Biao Huang, Hariprasad Kodamana, Atefeh Daemi   +2 more
exaly