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smoothing constant

См. также в других словарях:

  • Exponential smoothing — is a technique that can be applied to time series data, either to produce smoothed data for presentation, or to make forecasts. The time series data themselves are a sequence of observations. The observed phenomenon may be an essentially random… …   Wikipedia

  • Numerical smoothing and differentiation — An experimental datum value can be conceptually described as the sum of a signal and some noise, but in practice the two contributions cannot be separated. The purpose of smoothing is to increase the Signal to noise ratio without greatly… …   Wikipedia

  • Скользящая средняя — У этого термина существуют и другие значения, см. Скользящая средняя (значения). График исходной функции (синий) и его скользящая средняя (красная) с шириной окна n = 2 …   Википедия

  • Адаптивная скользящая средняя Кауфмана — (AMA, KAMA, AMkA от англ. Kaufman s Adaptive Moving Average)  технический индикатор, разновидность адаптивной скользящей средней, построенной на базе экспоненциально сглаженной скользящей средней и оригинальной методики определения и… …   Википедия

  • Diode bridge — Three bridge rectifiers. The size is generally related to the current handling capability …   Wikipedia

  • Radar tracker — A radar tracker is a component of a radar system, or an associated command and control (C2) system, that associates consecutive radar observations of the same target into tracks. It is particularly useful when the radar system is reporting data… …   Wikipedia

  • Affine shape adaptation — is a methodology for iteratively adapting the shape of the smoothing kernels in an affine group of smoothing kernels to the local image structure in neighbourhood region of a specific image point. Equivalently, affine shape adaptation can be… …   Wikipedia

  • Rectifier — A rectifier is an electrical device that converts alternating current (AC) to direct current (DC), a process known as rectification. Rectifiers have many uses including as components of power supplies and as detectors of radio signals. Rectifiers …   Wikipedia

  • Scale space implementation — Scale space Scale space axioms Scale space implementation Feature detection Edge detection Blob detection Corner detection …   Wikipedia

  • Kalman filter — Roles of the variables in the Kalman filter. (Larger image here) In statistics, the Kalman filter is a mathematical method named after Rudolf E. Kálmán. Its purpose is to use measurements observed over time, containing noise (random variations)… …   Wikipedia

  • List of mathematics articles (S) — NOTOC S S duality S matrix S plane S transform S unit S.O.S. Mathematics SA subgroup Saccheri quadrilateral Sacks spiral Sacred geometry Saddle node bifurcation Saddle point Saddle surface Sadleirian Professor of Pure Mathematics Safe prime Safe… …   Wikipedia

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