цифровой сглаживающий фильтр
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[Я.Н.Лугинский, М.С.Фези-Жилинская, Ю.С.Кабиров. Англо-русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.]
Англо-русский словарь нормативно-технической терминологии. academic.ru. 2015.
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
Smoothing — In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine scale structures/rapid phenomena. Many different… … 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
Hodrick-Prescott (HP) Filter — A data smoothing technique that is commonly applied to remove short term fluctuations that are associated with the business cycle, thereby revealing long term trends. The HP filter is used to determine the long term trend of a time series by… … Investment dictionary
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
Hodrick-Prescott filter — The Hodrick Prescott filter is a mathematical tool used in macroeconomics, especially in real business cycle theory. It is used to obtain a smoothed non linear representation of a time series, one that is more sensitive to long term than to short … Wikipedia
Low-pass filter — A low pass filter is a filter that passes low frequency signals but attenuates (reduces the amplitude of) signals with frequencies higher than the cutoff frequency. The actual amount of attenuation for each frequency varies from filter to filter … Wikipedia
Alpha beta filter — An alpha beta filter is a simplified form of Kalman filter which has static weighting constants instead of using co variance matrices. [ [http://www.mstarlabs.com/control/engspeed.html Engine Speed Monitoring: The Alpha Beta Filter , Microstar… … Wikipedia
цифровой сглаживающий фильтр — — [Я.Н.Лугинский, М.С.Фези Жилинская, Ю.С.Кабиров. Англо русский словарь по электротехнике и электроэнергетике, Москва, 1999 г.] Тематики электротехника, основные понятия EN data smoothing filter … Справочник технического переводчика
Scale space implementation — Scale space Scale space axioms Scale space implementation Feature detection Edge detection Blob detection Corner detection … Wikipedia
Scale space — theory is a framework for multi scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision. It is a formal theory for handling … Wikipedia
