Denoising Sinyal EEG dengan Algoritma Recursive Least Square dan Least Mean Square
نویسندگان
چکیده
منابع مشابه
Least Mean Square Algorithm
The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...
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The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...
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ژورنال
عنوان ژورنال: TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol
سال: 2019
ISSN: 2540-9123,2502-1982
DOI: 10.15575/telka.v5n2.122-129