- Gaussian process
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гауссов процесс
Англо-русский словарь технических терминов. 2005.
Gaussian process
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Gaussian process — A Gaussian process is a stochastic process which generates samples over time { X t } t ∈ T such that no matter which finite linear combination of the X t one takes (or, more generally, any linear functional of the sample function X t ), that… … Wikipedia
Gaussian blur — Gaussian blur, named for Carl Friedrich Gauss, describes blurring an image by a Gaussian function. It is a widely used effect in graphics software, typically to reduce image noise and reduce detail. The visual effect of this blurring technique is … Wikipedia
Gaussian adaptation — Articleissues citations missing = July 2008 COI = y expert = Mathematics notability = July 2008 jargon = July 2008 OR = September 2007 primarysources = July 2008 technical = July 2008Gaussian adaptation (GA) is an evolutionary algorithm designed… … Wikipedia
Gaussian elimination — In linear algebra, Gaussian elimination is an algorithm for solving systems of linear equations. It can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square… … Wikipedia
Gaussian network model — The Gaussian network model (GNM), one of many things named after Carl Gauss, is a representation of a biological macromolecule as an elastic mass and spring network to study, understand, and characterize mechanical aspects of its long scale… … Wikipedia
Process gain — In a spread spectrum system, the process gain (or processing gain ) is the ratio of the spread (or RF) bandwidth to the unspread (or baseband) bandwidth. It is usually expressed in decibels (dB).For example, if a 1 kHz signal is spread to 100 kHz … Wikipedia
Normal-inverse Gaussian distribution — Normal inverse Gaussian (NIG) parameters: μ location (real) α tail heavyness (real) β asymmetry parameter (real) δ scale parameter (real) support … Wikipedia
Point process — In statistics and probability theory, a point process is a type of random process for which any one realisation consists of a set of isolated points either in time or geographical space, or in even more general spaces. For example, the occurrence … Wikipedia
Ornstein–Uhlenbeck process — Not to be confused with Ornstein–Uhlenbeck operator. In mathematics, the Ornstein–Uhlenbeck process (named after Leonard Ornstein and George Eugene Uhlenbeck), is a stochastic process that, roughly speaking, describes the velocity of a massive… … Wikipedia
Large deviations of Gaussian random functions — A random function ndash; of either one variable (a random process), or two or more variables(a random field) ndash; is called Gaussian if every finite dimensional distribution is a multivariate normal distribution. Gaussian random fields on the… … Wikipedia
Gauss–Markov process — This article is not about the Gauss–Markov theorem of mathematical statistics. Gauss–Markov stochastic processes (named after Carl Friedrich Gauss and Andrey Markov) are stochastic processes that satisfy the requirements for both Gaussian… … Wikipedia
