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A variable step size LMS algorithm

IEEE Transactions on Signal Processing, 1992
A least-mean-square (LMS) adaptive filter with a variable step size is introduced. The step size increases or decreases as the mean-square error increases or decreases, allowing the adaptive filter to track changes in the system as well as produce a small steady state error. The convergence and steady-state behavior of the algorithm are analyzed.
Kwong, Raymond H., Johnston, Edward W.
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Nonparametric Variable Step-Size LMAT Algorithm

Circuits, Systems, and Signal Processing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guan, Sihai, Li, Zhi
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VARIABLE STEP-SIZE STÖRMER METHODS

Computational Methods in Sciences and Engineering 2003, 2003
Although it is possible to integrate a special second-order differential equation of the form y''(x) = f(x,y(x)), y(x0) = y0, y'(x0) = y'0 (1) by reducing it to a first order system and applying one of the methods available for those systems, it seems more natural to provide numerical methods to integrate (1) directly without using first derivatives ...
H. RAMOS, J. VIGO-AGUIAR
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