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sampling point

См. также в других словарях:

  • sampling point — / sɑ:mplɪŋ pɔɪnt/ noun a place where sampling is carried out ● The sampling point was just outside the main railway station …   Marketing dictionary in english

  • Sampling — may refer to: Sampling (signal processing), converting a continuous signal into a discrete signal Sampling (graphics), converting continuous colors into discrete color components Sampling (music), re using portions of sound recordings in a piece… …   Wikipedia

  • Sampling (signal processing) — Signal sampling representation. The continuous signal is represented with a green color whereas the discrete samples are in blue. In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the …   Wikipedia

  • Sampling (music) — This article is about reusing existing sound recordings in creating new works. For other uses, see Sample (disambiguation). In music, sampling is the act of taking a portion, or sample, of one sound recording and reusing it as an instrument or a… …   Wikipedia

  • Point cloud — A point cloud is a set of vertices in a three dimensional coordinate system. These vertices are usually defined by X , Y and Z coordinates.Point clouds are most often created by 3D scanners. These devices measure a large number of points on the… …   Wikipedia

  • Nyquist–Shannon sampling theorem — Fig.1: Hypothetical spectrum of a bandlimited signal as a function of frequency The Nyquist–Shannon sampling theorem, after Harry Nyquist and Claude Shannon, is a fundamental result in the field of information theory, in particular… …   Wikipedia

  • Systematic sampling — is a statistical method involving the selection of every k th element from a sampling frame, where k , the sampling interval, is calculated as:::: k = population size ( N ) / sample size ( n )Using this procedure each element in the population… …   Wikipedia

  • Rejection sampling — In mathematics, rejection sampling is a technique used to generate observations from a distribution. It is also commonly called the acceptance rejection method or accept reject algorithm .It generates sampling values from an arbitrary probability …   Wikipedia

  • Nested sampling algorithm — The nested sampling algorithm is a computational approach to the problem of comparing models in Bayesian statistics, developed in 2004 by physicist John Skilling.[1] Contents 1 Background 2 Applications 3 …   Wikipedia

  • Latin hypercube sampling — (LHS) is a statistical method for generating a distribution of plausible collections of parameter values from a multidimensional distribution. The sampling method is often applied in uncertainty analysis. The technique was first described by… …   Wikipedia

  • Gibbs sampling — In statistics and in statistical physics, Gibbs sampling or a Gibbs sampler is an algorithm to generate a sequence of samples from the joint probability distribution of two or more random variables. The purpose of such a sequence is to… …   Wikipedia

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