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Power control for non-Gaussian interference

2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009
This paper investigates the power control problem involving a small number of active users whereby the standard Gaussian interference noise assumption does not hold. The model also allows for different user transmission rates. We analyze the situation under which the system can be asymptotically error-free.
Yi Chen 0013, Wing Shing Wong
openaire   +2 more sources

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.
openaire   +2 more sources

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 ...
openaire   +1 more source

Non-Gaussianity and non-stationarity in vibration fatigue

, 2017
M. Palmieri   +4 more
semanticscholar   +1 more source

Quantifying non-Gaussianity via the Hellinger distance

Theoretical and Mathematical Physics(Russian Federation), 2020
Yue Zhang, Shunlong Luo
exaly  

Non-Gaussian Tensor Programs

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

A measure of non-Gaussianity for quantum states

Quantum Information Processing, 2011
J Solomon Ivan
exaly  

Diagnosis and impacts of non-Gaussianity of innovations in data assimilation

Physica D: Nonlinear Phenomena, 2010
Carlos A. Pires   +2 more
exaly  

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