- least squares filter
- фильтр с взвешенными наименьшими квадратами ошибки
Англо-русский словарь промышленной и научной лексики. 2014.
least squares filter
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Recursive least squares filter — Recursive least squares (RLS) algorithm is used in adaptive filters to find the filter coefficients that relate to recursively producing the least squares (minimum of the sum of the absolute squared) of the error signal (difference between the… … Wikipedia
Least mean squares filter — Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the… … Wikipedia
Filter design — is the process of designing a filter (in the sense in which the term is used in signal processing, statistics, and applied mathematics), often a linear shift invariant filter, which satisfies a set of requirements, some of which are contradictory … Wikipedia
Adaptive filter — An adaptive filter is a filter that self adjusts its transfer function according to an optimizing algorithm. Because of the complexity of the optimizing algorithms, most adaptive filters are digital filters that perform digital signal processing… … Wikipedia
Least Mean Squares — Der LMS Algorithmus (Least Mean Squares Algorithmus) ist ein Algorithmus zur Approximation der Lösung des Least Mean Squares Problems, das z. B. in der digitalen Signalverarbeitung vorkommt. In der Neuroinformatik ist der Algorithmus vor allem… … Deutsch 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
Multidelay block frequency domain adaptive filter — The Multidelay block frequency domain adaptive filter (MDF) algorithm is a block based frequency domain implementation of the (normalised) Least mean squares filter (LMS) algorithm. Contents 1 Introduction 2 Variable definitions 3 Algorithm… … Wikipedia
Wiener filter — In signal processing, the Wiener filter is a filter proposed by Norbert Wiener during the 1940s and published in 1949.ref|Wiener1949 Its purpose is to reduce the amount of noise present in a signal by comparison with an estimation of the desired… … Wikipedia
Ensemble Kalman filter — The ensemble Kalman filter (EnKF) is a recursive filter suitable for problems with a large number of variables, such as discretizations of partial differential equations in geophysical models. The EnKF originated as a version of the Kalman filter … 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
Kalman-Bucy-Filter — Das Kalman Filter ist ein nach seinem Entdecker Rudolf E. Kálmán benannter Satz von mathematischen Gleichungen. Mithilfe dieses Filters sind bei Vorliegen lediglich fehlerbehafteter Beobachtungen Rückschlüsse auf den exakten Zustand von… … Deutsch Wikipedia
