- discrete expansion
- дискретное разложение
English-russian dictionary of physics. 2013.
discrete expansion
Смотреть что такое "discrete expansion" в других словарях:
expansion — [ ɛkspɑ̃sjɔ̃ ] n. f. • 1584; lat. expansio, de expandere « déployer » 1 ♦ Phys. Accroissement de volume (d un fluide). Expansion de l air, d un gaz par élévation de la température (⇒ dilatation) , par diminution de pression (⇒ décompression) . La … Encyclopédie Universelle
Discrete space — In topology, a discrete space is a particularly simple example of a topological space or similar structure, one in which the points are isolated from each other in a certain sense. Contents 1 Definitions 2 Properties 3 Uses … Wikipedia
Discrete-time Fourier transform — In mathematics, the discrete time Fourier transform (DTFT) is one of the specific forms of Fourier analysis. As such, it transforms one function into another, which is called the frequency domain representation, or simply the DTFT , of the… … Wikipedia
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Fourier series — Fourier transforms Continuous Fourier transform Fourier series Discrete Fourier transform Discrete time Fourier transform Related transforms … Wikipedia
Relations between Fourier transforms and Fourier series — In the mathematical field of harmonic analysis, the continuous Fourier transform has very precise relations with Fourier series. It is also closely related to the discrete time Fourier transform (DTFT) and the discrete Fourier transform (DFT).… … Wikipedia
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Fourier analysis — In mathematics, Fourier analysis is a subject area which grew out of the study of Fourier series. The subject began with trying to understand when it was possible to represent general functions by sums of simpler trigonometric functions. The… … Wikipedia
Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function … Wikipedia
Central limit theorem — This figure demonstrates the central limit theorem. The sample means are generated using a random number generator, which draws numbers between 1 and 100 from a uniform probability distribution. It illustrates that increasing sample sizes result… … Wikipedia
