基于小波变换的微弱信息检测研究Research on weak information detection based on wavelet transform
王月
摘要(Abstract)：
传统微弱信息检测方法不能过滤纯噪信号,常因纯噪信号幅值、强度过大,造成信息检测结果失真。为解决此问题,设计基于小波变换的微弱信息检测模型。通过微弱信息小波分解尺度确定、小波作用阈值改进、微弱信息小波变换系数重构,完成微弱信息的小波变换去噪;通过小波Duffing振子重构信号检测、微弱信息待测信号频率确定、微弱信息幅值测量,完成基于小波变换微弱信息检测模型的搭建。模拟该模型的使用环境,设计对比实验。结果表明,应用基于小波变换微弱信息检测模型后,纯噪信号幅值与强度明显降低。
关键词(KeyWords)： 小波变换;微弱信息检测;去噪分析;Duffing振子;信号检测;幅值测量
基金项目(Foundation):
作者(Author): 王月
DOI: 10.16652/j.issn.1004-373x.2018.19.017
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