摘要
在定义光通信网络传输冗余信息的空间峰值基础上,根据冗余信息在降噪过程中的偏差值,完成光通信网络传输冗余信息的降噪处理,结合光通信网络传输冗余信息辨识算法的设计,实现了光通信网络传输冗余信息的辨识;实验结果表明,基于特征选择的光通信网络传输冗余信息辨识方法在降低冗余信息辨识的虚警率同时,还可以提高检测率,具有更好的辨识性能。
On the basis of defining the spatial peak value of redundant information transmitted in optical communication network, according to the deviation value of redundant information in the process of noise reduction, the noise reduction processing of redundant information transmitted in optical communication network is completed. The experimental results show that the redundant information identification method based on feature selection can not only reduce the false alarm rate of redundant information identification, but also improve the detection rate and have better identification performance.
作者
刘江平
LIU Jiangping(Network Center,Anhui Sanlian University,Hefei Anhai 230601)
出处
《保山学院学报》
2022年第2期71-77,共7页
JOURNAL OF BAOSHAN UNIVERSITY
基金
安徽三联学院质量工程项目“交通信号指示灯虚拟仿真实验”(项目编号:20zlgc016)
安徽三联学院校级科研重点项目“深度学习算法在新生儿高致病菌蛋白二级结构预测中的应用”(项目编号:KJZD2021008)
安徽省省级质量工程项目“交通信号控制虚拟仿真”(项目编号:2020xfxm20)。
关键词
特征选择
光通信网络
冗余信息辨识
降噪处理
Feature selection
Optical communication network
Redundant information identification
Noise reduction treatment
