Based on the proposed system model, Nonlinear Channel LMS(NCLMS) algorithm,improved algorithm for type t NCLMS Newton and improved algorithm for type 2 NCLMS Newton are proposed and derived.The simulation result
Jaijit Singh Changotra, Ramanand Harijan., "An adaptive filter as noise cancellation by using LMS /Newton algorithm" International journal on computer science and Engineering, vol. 4 No. 08, pp.no 1449-1453,2012.Jaijit Singh Changotra et al.[2012], ―An Adaptive filter as Noise ...
1.Based on the shortcoming of LMS algorithm,themodified LMS Newtonalgorithm is used to deal with narrow-band interference.针对LMS算法存在的不足,运用修正LMS Newton算法进行抗窄带干扰处理。 2.Aiming at the fact that the performance of suppressing strong interference for the NLMS algorithm is not perf...
[ 8] Marcos S 。Macchi O.T racking capability of the I east mean square algorithm:application tO an asynchronous echo cancel— ler[ J] .IEEE Transactions on A coust Speech Spinal Processing ,1987,35( 11) :1570— 1578. A n Improved L M S Newton A lgorithm and Its A nalysis ...
LMSAlgorithm最小均方算法 Machine Learning Basic Knowledge 常用的数据挖掘机器学习知识(点) Basis(基础): MSE(MeanSquare Error?均方误差),LMS(Least MeanSquare?最小均方),LSM(Least Square Methods?最小二乘法),MLE(Maximum LikelihoodEstimation最大似然估计),QP(QuadraticProgramming?二次规划),?CP(Conditional...
In the LMS Newton algorithm the estimate of autocorrelation matrix of the input signal vector is used for updating the weight. 在LMS牛顿算法中权值的更新采用了输入信号矢量的相关矩阵估计 ,不同的估计方法对算法的性能影响很大 ,该文分析了一种改进相关矩阵估计的LMS牛顿算法 ,该算法通过对LMS牛顿算法中的...
Biscainho, ‘‘Optimal variable step size for the LMS/Newton algorithm with application to subband adaptive filtering,’’ IEEE Trans. on Signal Processing, vol. SP-40, pp. 2825-2829, Nov. 1992. Google Scholar S. Roy and J. J. Shynk, ‘‘Analysis of the data-reusing LMS algorithm,...
LMS algorithm 梯度下降求参数 LMS stands for “least mean squares” batch gradient descent stochastic gradient descent 直接求参数: 概率解释 e(i) are distributed IID (independently and identically distributed) according to a Gaussian distribution (also called a Normal distribution)....
While the least mean square (LMS) algorithm has been widely explored for some specific statistics of the driving process, an understanding of its behavior under general statistics has not been fully achieved. In this paper, the mean square convergence of
武汉理工大学《信息处理课群综合训练与设计 》报告书 课程设计任务书 学生姓名: 专业班级: 指导教师: 李政颖 工作单位: 信息工程学院 题 目: 基于LMS 算法的多麦克风降噪 初始条件: 具备数字信号处理,模拟电子技术,Matlab等学科的知识。 要求完成的主要任务: 给定主麦克风录制的受噪声污染的语音信号和参考麦克风录制...