leastsquareequalizer

由EHSatorius著作·1980·被引用11次—theleastsquareslatticeequalizeralgorithm,wereturntotheproblemofobtainingtheleastsquarescoefficientvectorFm(n)definedby ...,2022年1月20日—Alargevalueofμμgeneratesanequalizerresponsethatconvergesfasterthanthatforasmallervalueofμμ.Thismakessensefromtheform ...,Leastmeansquares(LMS)algorithmsareaclassofadaptivefilterusedtomimicadesiredfilterbyfindingthefiltercoeffi...

參考資訊如下
A Least Squares Adaptive Lattice Equalizer Algorithm.

由 EH Satorius 著作 · 1980 · 被引用 11 次 — the least squares lattice equalizer algorithm, we return to the problem of obtaining the least squares coefficient vector Fm(n) defined by ...

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 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 ...

Least Mean

2018年12月29日 — This tutorial provides an overview of a very simple fininite impulse response least mean-squares equalizer simulation. This is part of my ...

Least

由 MS Mueller 著作 · 1981 · 被引用 101 次 — Least-squares algorithms are the fastest converging algorithms for adaptive signal processors, such as adaptive equalizers. The Kaiman,.

Least

由 K Steiner 著作 · 2022 · 被引用 2 次 — This article provides solutions to these challenges by designing a wideband equalizer for a sub-Nyquist-sampled 1.6-GHz S -band phased-array ...

Recursive Least Square Adaptive Linear Equalizer

2018年8月12日 — 1 Answer 1 ... To answer (1) the adaptive equalizer without a training sequence (blind equalization) can be used based on the decisions of the ...

Recursive Least Square and Least Means ...

Recursive Least Squares (RLS) are adaptive filters that search for the coefficient weights that are set to minimize the weighted linear least square cost ...