摘要
本文介绍了一种短波话音数据监测采集和分析挖掘方法。首先设计实现图形化人机交互界面对短波通联属性信息进行监测采集存储;其次在存储数据库的基础上,对监测数据进行分析挖掘。通过对各参数进行单项分析揭示了内部规律;通过对多维参数间进行多项分析和关联分析,揭示了短波话音通联质量与其他通联参数间的关联规律,为短波收/发电台选取、优化短波通信频率提供了依据。
This paper introduces a method of short-wave voice data monitoring, collecting, analyzing and mining. Firstly, a graphical human-computer interaction interface is designed to monitor, collect and store the short-wave communication attributes;Secondly, based on the stored database, the monitoring data is analyzed and mined. The internal relationship of each parameter is revealed through single-term analysis;The relationship among multi-dimensional parameters is analyzed through multiple term analyses and correlation analysis. The correlation rules between the quality of short-wave voice communication and other parameters are revealed, which provide bases for short-wave receiver/transmitter selection and frequency optimization of short-wave voice communication.
出处
《软件工程与应用》
2022年第6期1439-1445,共7页
Software Engineering and Applications