Results 71 to 80 of about 358,991 (308)
Distributed Estimation of Gaussian Correlations [PDF]
2018 IEEE International Symposium on Information Theory (ISIT), 2018 We study a distributed estimation problem in which two remotely located parties, Alice and Bob, observe an unlimited number of i.i.d. samples corresponding to two different parts of a random vector. Alice can send $k$ bits on average to Bob, who in turn wants to estimate the cross-correlation matrix between the two parts of the vector.
Uri Hadar, Ofer Shayevitz
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Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Automatic image equalization and contrast enhancement using Gaussian mixture modeling [PDF]
, 2012 In this paper, we propose an adaptive image equalization algorithm that automatically enhances the contrast in an input image. The algorithm uses the Gaussian mixture model to model the image gray-level distribution, and the intersection points of the ...
Tjahjadi, Tardi +3 more
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Which is the right option for Indian market: Gaussian, normal inverse Gaussian, or Tsallis?
IIMB Management Review, 2019 This paper models Nifty spot prices using frameworks based on Gaussian distribution (geometric Brownian motion) and non-Gaussian distributions, viz. normal inverse Gaussian (NIG), and Tsallis distributions, to investigate which model best captures the ...
Prasenjit Chakrabarti +1 more
doaj +1 more source
Product Entropy of Gaussian Distributions
The Annals of Mathematical Statistics, 1969 0. Summary. This paper studies the product epsilon entropy of mean-continous Gaussian processes. That is, a given mean-continuous Gaussian process on the unit interval is expanded into its Karhulnen expansion. Along the kth eigenfunction axis, a partition by intervals of length Ek iS made, and the entropy of the resulting discrete distribution is noted.
Posner, Edward C. +2 more
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In Situ Micromechanical Study of Bimodal γ′–γ″ Precipitate Assemblies in Ni–Cr–Al–Nb Superalloy
Advanced Engineering Materials, EarlyView.A Ni–Cr–Al–Nb superalloy with a bimodal γ′–γ″ precipitate distribution is developed. Composite precipitate assemblies form through heterogeneous nucleation, effectively impeding dislocation motion. Micropillar compression reveals high strength at room and elevated temperatures, governed by precipitate shearing, with coupled faulting mechanisms ...
Ujjval Bansal +4 more
wiley +1 more source
An R Package for a General Class of Inverse Gaussian Distributions [PDF]
The inverse Gaussian distribution is a positively skewed probability model that has received great attention in the last 20 years. Recently, a family that generalizes this model called inverse Gaussian type distributions has been developed.
Hugo Hernández +2 more
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Correlations between Maxwell's multipoles for Gaussian random functions on the sphere [PDF]
, 2005 Maxwell's multipoles are a natural geometric characterization of real functions on the sphere (with fixed ⌊). The correlations between multipoles for Gaussian random functions are calculated by mapping the spherical functions to random polynomials.
Dennis, MR +3 more
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Advanced Engineering Materials, EarlyView.Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley +1 more source
Moments of the generalized hyperbolic distribution [PDF]
In this paper we demonstrate a recursive method for obtaining the moments of the generalized hyperbolic distribution. The method is readily programmable for numerical evaluation of moments.
Scott, David J +3 more
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