smoothing
31smoothing mill — noun : a revolvable sandstone wheel used with a stream of water for cutting and beveling glass or stone …
32Exponential 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… …
33Numerical 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… …
34Edge preserving smoothing — is an image processing technique where the edge information is preserved during the smoothing process. It uses non linear operator which is able to remove texture and noise, while keeping edges and corners. The technique is known also as edge and …
35Dashing Away with the Smoothing Iron — is a traditional English folk song written in the 19th century about a housewife carrying out her linen chores. In 1953, the melody was adapted by Donald Swann for the comedy song The Gasman Cometh . In 1973 the tune was used by the English… …
36Savitzky–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 .… …
37Consumption smoothing — is the economic concept used to express the desire of people for having a stable path of consumption. Since Milton Friedman s permanent income theory (1956) and Modigliani and Brumberg (1954) life cycle model, the idea that agents prefer a stable …
38Additive smoothing — In the field of statistical language modeling and statistics, additive smoothing is a technique used to smooth a distribution p ( x ) representing, for example, occurrences of a word x in a text.The additively smoothed distribution is defined… …
39Data Smoothing — The use of an algorithm to remove noise from a data set, allowing important patterns to stand out. Data smoothing can be done in a variety of different ways, including random, random walk, moving average, simple exponential, linear exponential… …
40maximum forward rate smoothing — An alternative yield curve smoothing technique. The most accurate yield curve smoothing method for forward rates. The yield curve with the smoothest possible forward rate function, consistent with observable data, is closely related to but… …
