1·Afterward according to the MSE rule, we design a limited length transversal filter, and implement by MATLAB.
在MSE准则下，设计了一个定长的自适应最小均方横向滤波器，并通过MATLAB编程实现。
2·This paper discusses the hardware structure and implementation of DopplerfiIter bank in MTD radar using transversal filter.
该文讨论了用横向滤波器实现MTD雷达中多普勒数字滤波器组的硬件结构和实现方法。
3·A novel idea of using Fast Transversal Filter (FTF) adaptive algorithm in Ultra WideBand (UWB) RAKE receiver is proposed for the first time.
本文首次提出将快速横向滤波(FTF)算法引入超宽带(uwb)通信系统的接收机结构中。
4·The LMS algorithm is usually adopted to adjust weight coefficients of the adaptive transversal filter whose output is an estimation of the echo signal.
通常采用LMS算法对自适应横向滤波器的加权系数进行调节。
5·This paper proposes a novel decision feedback equalizer (DFE) algorithm based on a sliding window generalized multichannel fast transversal filter (SWFTF).
本文提出了一种基于滑动窗广义多路快速横向滤波(SWFTF)的自适应判决反馈均衡器(DFE)算法。
6·The equalization in frequency domain is the feed-forward filtering of the DFE. And the traditional transversal filter is used in the feed-back filtering in time domain.
本文设计的均衡器采用了时域和频域联合处理的自适应均衡技术，其中频域均衡作为DFE的前馈滤波部分，时域的反馈滤波的部分使用常规的横向滤波器。
7·The coefficients of the FIR transversal filter was identified by using adaptive RLS algorithm while the output signal of the vibration pick-up was input into the FIR transversal filter.
该方法是将拾振器的输出信号作为FIR横向滤波器的输入，用自适应rls算法对FIR横向滤波器系数进行辨识而最终获得可以恢复拾振器原始输入信号的反卷积滤波器。
8·The emphasis is laid on the principles of LMS transversal filter, decision feedback equalizer and blind equalizer. Different equalizing schemes and their performance used in HDTV are discussed.
着重介绍采用最小均方算法的横向滤波器、判决反馈均衡器及盲均衡器，讨论了HDTV中采用的不同均衡方案及其均衡性能。
9·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。
10·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。