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A NEW VARIABLE STEP SIZE CONTROL METHOD FOR THE TRANSFORM DOMAIN LMS ADAPTIVE ALGORITHM

机译:变换域LMS自适应算法的变步长控制新方法

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摘要

This paper develops a new adaptive step size control method for the transform domain least mean-square (TDLMS) adaptive algorithm. The time-varying step size is an efficient approximation of an optimal step size based on a proposed cost function, therefore leading to significant improvements in the performance characteristics of the TDLMS algorithm. Mean-square analysis is provided, and an expression for the steady-state excess mean-squared error (MSE) is derived. Simulation experiments confirm the algorithm's enhanced convergence properties and verify the theoretical steady-state MSE results.
机译:本文为变换域最小均方(TDLMS)自适应算法开发了一种新的自适应步长控制方法。时变步长是基于建议的成本函数的最佳步长的有效近似值,因此导致TDLMS算法的性能特征得到显着改善。提供均方分析,并导出稳态超额均方误差(MSE)的表达式。仿真实验证实了该算法增强的收敛性,并验证了理论上的稳态MSE结果。

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