1. The Least Mean Squares algorithm (LMS) SD研究的最陡下降方法是一种递归计算信号统计量已知时维纳滤波器的递归算法 (knowledge about R och p)。 问题是,这个信息通常是未知的! LMS是一种基于与最陡下降法相同的原理的方法,但其统计量是连续估计的。 由于统计量是连续估计的,因此LMS算法可以适应信号统计量...
其中,Normalized Least Mean Squares(NLMS)算法作为Least Mean Squares(LMS)算法的一种改进,具有更快的收敛速度和更好的稳健性。本文将详细介绍NLMS算法的原理,并通过MATLAB进行仿真验证。 算法原理 NLMS (Normalized Least Mean Squares) 是LMS (Least Mean Squares) 算法的一种改进。与LMS算法相比,NLMS算法具有更快...
This chapter develops an alternative to the method of steepest descent called the least mean squares (LMS) algorithm, which will then be applied to problems in which the second-order statistics of the signal are unknown. Due to its simplicity, the LMS algorithm is perhaps the most widely used...
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 objective function [1,2]. The LMS algorithm, as well as others related to it, is widely used in various applications of adaptive filter...
前景重配准的改进帧间误差最小化非均匀性校正算法 improved interframe registration based least-mean-square-error non-uniformity correction algorithm by foreground re-registration 热度: new analytical model for the filtered-x least mean squares algorithm verified through active noise control experiment:对于滤...
3.3.1 Least mean square (LMS) The LMS algorithm adjusts the filter parameters in order to minimize the mean squares error between the filter output signal and the expectations output signals. LMS is based on a steepest descent algorithm. The updated filter coefficient for LMS algorithm is given...
A new technique for the least-mean-squares (LMS) phase-unwrapping method is developed that incorporates the concept of branch cuts between phase singularities (residues), which are usually associated with the path-following gradient integration technique. These branch cuts are introduced by decomposition...
1) LMS(Least Mean Square) iterative algorithm 迭代LMS算法2) LMS update algorithm LMS迭代算法3) changing step LMS arithmetic base on iterative time 基于迭代次数变步长的LMS算法4) iteration algorithm 迭代算法 1. The Cost Calculation Research on Actual Price Iteration Algorithm for Coating ...
1) Criterion of weight least mean square 加权均方误差最小准则2) weighted least-squares error criterion 加权平方误差最小准则 1. This paper discusses the design method of FIR digital filters under the weighted least-squares error criterion. 本文讨论了用加权平方误差最小准则设计FIR数字滤波器的方法...
In this paper a comparison is made between the convergence and tracking properties of Least Squares (LS) and Least Mean Squares (LMS) algorithms as high frequency (HF) channel estimators. Theoretical results are derived for the asymptotic error achieved by the LS algorithms under white-input condi...