leastmeansquare

,2022年1月20日—Alargevalueofμμgeneratesanequalizerresponsethatconvergesfasterthanthatforasmallervalueofμμ.Thismakessensefromtheform ...,Description.LMSfiltersareaclassofadaptivefiltersthatareabletolearnanunknowntransferfunctions.LMSfiltersuseagradientdescentmethod ...,TheLeastMeanSquare(LMS)erroralgorithmisanexampleofsupervisedtraining,inwhichthelearningruleisprovidedwithasetofexamplesofdesire...

參考資訊如下
Least Mean Square (LMS) Algorithm in Adaptive Equalization

Least Mean Square (LMS) Equalizer

2022年1月20日 — A large value of μ μ generates an equalizer response that converges faster than that for a smaller value of μ μ . This makes sense from the form ...

Least Mean Square (LMS) Filters - cmsis

Description. LMS filters are a class of adaptive filters that are able to learn an unknown transfer functions. LMS filters use a gradient descent method ...

Least Mean Square

The Least Mean Square (LMS) error algorithm is an example of supervised training, in which the learning rule is provided with a set of examples of desired ...

Least mean squares filter

THE LEAST-MEAN

由 PS Ramirez 著作 · 2002 · 被引用 2 次 — The least-mean-square (LMS) is a search algorithm in which a simplification of the gradient vector computation is made possible by appropriately modifying.

The Least-Mean

由 B Russell 著作 — The least-mean-square (LMS) algorithm is an adaptive filter developed by Widrow and Hoff (1960) for electrical engineering applications.

What Is Least Mean Square (LMS) in Machine Learning?

2024年1月28日 — Least Mean Squares (LMS) is a valuable asset for adaptive learning in machine learning. It's a methodical approach to refining models, ensuring ...

最小均方濾波器

最小均方濾波器（Least Mean Square Filter，或LMS Filter）是一類可通過最小化誤差訊號（error signal）之均方值（mean square）而修正濾波器係數，以類比所需理想 ...