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Two gradient descent adaptive algorithms are compared, the LMS algorithm and the LMS/Newton algorithm. LMS is simple and practical, and is used in many applications worldwide. LMS/Newton is based on ...
Stochastic Signal Processing Projects 2023-2024 This repository contains MATLAB scripts for implementing and analyzing adaptive filtering using the Least Mean Squares (LMS) algorithm. These projects ...
In order to improve the convergence speed of the existing LMS algorithms, a new LMS algorithm with variable step size based on the Swish function is proposed, and the effects of the parameters in the ...
Aiming to achieve an accurate time delay estimation in acoustic thermometry for power plant boilers, this study proposes a time delay estimation algorithm that combines the least-mean-square (LMS) ...
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