- smoothing procedure
- мат. сглаживающая процедура
Большой англо-русский и русско-английский словарь. 2001.
smoothing procedure
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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
Savitzky–Golay smoothing filter — The Savitzky–Golay smoothing filter is a type of filter first described in 1964 by Abraham Savitzky and Marcel J. E. Golay. [A. Savitzky and Marcel J.E. Golay (1964). Smoothing and Differentiation of Data by Simplified Least Squares Procedures .… … Wikipedia
Mean squared prediction error — In statistics the mean squared prediction error of a smoothing procedure is the expected sum of squared deviations of the fitted values from the (unobservable) function g. If the smoothing procedure has operator matrix L, then The MSPE can be… … Wikipedia
Delaunay tessellation field estimator — The reconstruction of a density field from a discrete set of points sampling this field. The Delaunay tessellation field estimator (DTFE) is a mathematical tool for reconstructing a volume covering and continuous density or intensity field from a … Wikipedia
hand tool — any tool or implement designed for manual operation. * * * Introduction any of the implements used by craftsmen in manual operations, such as chopping, chiseling, sawing, filing, or forging. Complementary tools, often needed as auxiliaries to… … Universalium
Forward-backward algorithm — In computer science, the forward backward algorithm, a dynamic programming algorithm for computing the probability of a particular observation sequence, given the parameters of the model, operates in the context of hidden Markov models. Overview… … Wikipedia
Local regression — LOESS, or locally weighted scatterplot smoothing, is one of many modern modeling methods that build on classical methods, such as linear and nonlinear least squares regression. Modern regression methods are designed to address situations in which … Wikipedia
Edge detection — is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction, to refer to algorithms which aim at identifying points in a digital image at which the image brightness changes… … Wikipedia
sculpture — sculptural, adj. sculpturally, adv. /skulp cheuhr/, n., v., sculptured, sculpturing. n. 1. the art of carving, modeling, welding, or otherwise producing figurative or abstract works of art in three dimensions, as in relief, intaglio, or in the… … Universalium
Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression … Wikipedia
