摘要
为了提高数据通信中的信号完整性,文章对信号采集、预处理、特征提取与异常检测方法进行了研究。结果表明,基于机器学习的信号处理方法在识别和分类异常信号方面具有显著优势,有助于提升通信可靠性与效率。
In order to improve signal integrity in data communication,this article studies methods for signal acquisition,preprocessing,feature extraction,and anomaly detection.The results indicate that machine learning based signal processing methods have significant advantages in identifying and classifying abnormal signals,which helps to improve communication reliability and efficiency.
作者
张良梁
ZHANG Liangliang(Chinese Academy of Information Security,Beijing 100000,China)
关键词
信号完整性
数据通信
信号预处理
signal integrity
data communication
signal preprocessing
