自适应滤波算法综述

Survey of Adaptive Filtering Algorithms

摘要:

分析了最小均方误差滤波和递归最小二乘滤波算法、自适应滤波的神经网络方法、基于QR分解的方法、统一模型下的自适应滤波及基于高阶累积量的自适应算法的优缺点,并对自适应滤波算法的未来发展做了展望。

关键词:自适应滤波算法,最小均方误差算法,递归最小二乘算法,神经网络,矩阵分解

Abstract:

On the basis of Least-Mean-Square(LMS) filtering and Recursive-Least-Square(RLS) filtering,the recently developed adaptive filtering algorithms such as the neural network approach,the QR decomposition approach,the unified model algorithm,the high-order cu

Key words:adaptive filtering algorithm,LMS algorithm,RLS algorithm,neural network,matrix factorization