A new structure of radar receiving equipment based on wavelet neural net works has been presented in this paper. Andthe adaptive equalization algorithm has been researched.
本文以电子战为背景，在雷达接收机中引入了小波神经网络，研究了系统的结构及自适应均衡算法。
As a kind of new optimized algorithm, neural network can substitute for landscape orientation filter in adaptive equalization, and it has been widely used in digital communication system.
神经网络作为一种新型的优化算法，可以替代自适应均衡算法中的横向滤波器，在数字通信系统中得到了广泛应用。
Based on the analysis of wavelet packets and traditional adaptive equalization, an adaptive equalizer structure and its adaptive algorithm, based on wavelet packets transform, are presented.
在分析小波包和传统自适应线性均衡的基础上，提出了一种基于小波包变换的自适应均衡器结构，并给出了相应的自适应均衡算法。
Fast algorithm for adaptive neighborhood gray-scale stretch histogram equalization method is proposed which can reduce operand greatly.
提出自适应邻域灰阶扩展直方图均衡法的快速算法，大大减小运算量，使其在临床上的应用成为可能。
Thus, a notion of channel adaptive equalization is presented in the paper. Relative algorithm is adaptively selected according to the channel estimation result.
因此本文提出了环境自适应频域均衡的概念：根据信道估计的结果来自适应地选取合适的频域均衡算法。
In Chapter 8, Active functions of DFBPE output and equalization algorithm are modified for the adaptive equalization of multi-level modulation signal.
第八章对判决反馈BP网络均衡器输出的激活函数及算法进行了改进，使算法能够有效地应用于多电平调制信号的自适应均衡。
In Chapter 8, Active functions of DFBPE output and equalization algorithm are modified for the adaptive equalization of multi-level modulation signal.
第八章对判决反馈BP网络均衡器输出的激活函数及算法进行了改进，使算法能够有效地应用于多电平调制信号的自适应均衡。
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