At first this paper studies the structure of the adaptive transversal filter, and analyzes the common adaptive filter algorithm (LMS, RLS and NLMS) 's characteristics and applied range, and so on.
首先本文研究了横向自适应滤波器结构，分析了自适应滤波的几种常用算法(LMS, RLS和NLMS)的特点，应用范围等。
The correlation algorithm in training period and the LMS algorithm in run period can be combined in the identical transversal filter structure, so that it speeds up the channel estimator convergence.
训练阶段的相关算法与工作阶段的LMS算法可结合在同一个横向滤波器结构中，从而加速了自适应信道估计器的收敛过程。
The transform domain LMS algorithm can reduce the cross-correlation of input signals effectively through orthogonal transforms, so the convergence rate will be improved;
变换域LMS算法能通过正交变换有效降低输入信号自相关矩阵特征值的分散程度，可提高算法的收敛速度；
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