Abstract: This paper Presents a means of generating a set of N correlated Gaussian random variables from N or fewer independent Gaussian random variables. In computer generation of pseudorandom ...
Abstract: Recently, the information bottleneck method, a machine learning framework, was incorporated in several communication engineering related applications. However, most of these applications are ...
To train the Gaussian steering classifiers for an $(n+m)$-mode CV system, it is necessary to collect covariance matrices $\Gamma_\rho $ of $(n+m)$-mode Gaussian states $\rho$ as training samples and ...
Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...
CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...
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