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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, 2009This 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
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Emergence of Non-Gaussianity in Turbulence
2017Fully 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, 1986It 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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Estimating the evolution of sea state non-Gaussianity based on a phase-resolving model
Journal of Oceanology and Limnology, 2022Xingjie Jiang
exaly
Non-Gaussianity and non-stationarity in vibration fatigue
, 2017M. Palmieri +4 more
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Quantifying non-Gaussianity via the Hellinger distance
Theoretical and Mathematical Physics(Russian Federation), 2020Yue Zhang, Shunlong Luo
exaly
Advances in Neural Information Processing Systems 35, 2022
Eugene A. Golikov, Greg Yang
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Eugene A. Golikov, Greg Yang
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A measure of non-Gaussianity for quantum states
Quantum Information Processing, 2011J Solomon Ivan
exaly
Diagnosis and impacts of non-Gaussianity of innovations in data assimilation
Physica D: Nonlinear Phenomena, 2010Carlos A. Pires +2 more
exaly
Analyzing relationships among ARMA processes based on non-Gaussianity of external influences
Neurocomputing, 2011Yoshinobu Kawahara, Shōhei Shimizu
exaly

