本文主要介绍了自适应滤波的两种算法：最小均方(LMS, Least Mean Squares)和递推最小二乘(RLS, Recursive Least Squares)两种基本自适应算法。我们对这两种基本的算法进行了原理介绍，并进行了Matlab仿真。通过仿真结果，我们对两种自适应算法进行了性能分析，并对其进行了比较。用Matlab求出了LMS自适应算法的权系数，及其学习过程曲线，和RLS自适应权系数算法的学习过程。
QRD-RLS Adaptive Filtering Jos´e Antonio Apolin´ario Jr. I feel very honoured to have been asked to write a brief foreword for this book on QRD-RLS Adaptive Filtering – a subjectwhich has been close to my heart for many years. The book is well writt
