Results 291 to 300 of about 7,552,651 (318)

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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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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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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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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Simulating strongly non-Gaussian and non-stationary processes using Karhunen–Loève expansion and L-moments-based Hermite polynomial model

Mechanical Systems and Signal Processing, 2021
Yan-Gang Zhao
exaly  

Non-Gaussian Tensor Programs

Advances in Neural Information Processing Systems 35, 2022
Eugene A. Golikov, Greg Yang
openaire   +2 more sources

An analytical formula for Gaussian to non-Gaussian correlation relationship by moment-based piecewise Hermite polynomial model with application in wind engineering

Journal of Wind Engineering and Industrial Aerodynamics, 2020
Liuliu Peng, Qingshan Yang, Guoqing Huang   +2 more
exaly  

Stochastic responses of nonlinear systems to nonstationary non-Gaussian excitations

Mechanical Systems and Signal Processing, 2020
Siu-Siu Guo, Qingxuan Shi, Zhao-Dong Xu   +2 more
exaly  

Estimation of evolutionary spectra for simulation of non-stationary and non-Gaussian stochastic processes

Computers and Structures, 2013
Michael D Shields, G Deodatis
exaly  

A Gaussian Feature Analytics-Based DISSIM Method for Fine-Grained Non-Gaussian Process Monitoring

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