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- Least_mean_squares_filter abstract "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 actual signal). It is a stochastic gradient descent method in that the filter is only adapted based on the error at the current time. It was invented in 1960 by Stanford University professor Bernard Widrow and his first Ph.D. student, Ted Hoff.".
- Least_mean_squares_filter thumbnail Lms_filter.svg?width=300.
- Least_mean_squares_filter wikiPageExternalLink example_ale_nc.html.
- Least_mean_squares_filter wikiPageExternalLink lms.php.
- Least_mean_squares_filter wikiPageID "2017311".
- Least_mean_squares_filter wikiPageRevisionID "604832749".
- Least_mean_squares_filter hasPhotoCollection Least_mean_squares_filter.
- Least_mean_squares_filter subject Category:Digital_signal_processing.
- Least_mean_squares_filter subject Category:Filter_theory.
- Least_mean_squares_filter subject Category:Stochastic_algorithms.
- Least_mean_squares_filter type Abstraction100002137.
- Least_mean_squares_filter type Act100030358.
- Least_mean_squares_filter type Activity100407535.
- Least_mean_squares_filter type Algorithm105847438.
- Least_mean_squares_filter type Event100029378.
- Least_mean_squares_filter type Procedure101023820.
- Least_mean_squares_filter type PsychologicalFeature100023100.
- Least_mean_squares_filter type Rule105846932.
- Least_mean_squares_filter type StochasticAlgorithms.
- Least_mean_squares_filter type YagoPermanentlyLocatedEntity.
- Least_mean_squares_filter comment "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 actual signal). It is a stochastic gradient descent method in that the filter is only adapted based on the error at the current time. It was invented in 1960 by Stanford University professor Bernard Widrow and his first Ph.D. student, Ted Hoff.".
- Least_mean_squares_filter label "Algoritmo LMS".
- Least_mean_squares_filter label "LMS-Algorithmus".
- Least_mean_squares_filter label "Least Mean Square".
- Least_mean_squares_filter label "Least mean squares filter".
- Least_mean_squares_filter label "最小均方滤波器".
- Least_mean_squares_filter sameAs LMS-Algorithmus.
- Least_mean_squares_filter sameAs Algoritmo_LMS.
- Least_mean_squares_filter sameAs Least_Mean_Square.
- Least_mean_squares_filter sameAs 델타_규칙.
- Least_mean_squares_filter sameAs m.06fc_p.
- Least_mean_squares_filter sameAs Q1426666.
- Least_mean_squares_filter sameAs Q1426666.
- Least_mean_squares_filter sameAs Least_mean_squares_filter.
- Least_mean_squares_filter wasDerivedFrom Least_mean_squares_filter?oldid=604832749.
- Least_mean_squares_filter depiction Lms_filter.svg.
- Least_mean_squares_filter isPrimaryTopicOf Least_mean_squares_filter.
