首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波变换分析的微弱信号检测研究
引用本文:储健.基于小波变换分析的微弱信号检测研究[J].通信技术,2008,41(8).
作者姓名:储健
作者单位:天津工程师范学院;
基金项目:国家自然科学基金:农田水势软测量技术及装置研究
摘    要:文章针对在检测农田水势微弱信息时传统的微弱信号检测算法或原理的局限性,在分析了小波变换信噪分离原理的基础上,提出了将小波分析与自适应滤波相结合的算法.通过小波分析对被检测的微弱信号的分解,为每一子带单独设计阈值,实现了从强噪声信号中提取微弱信号,并通过仿真的结果验证了本算法的可行性和可靠性,为微弱信号的检测提供了新的理论算法.

关 键 词:微弱信号  小波分析  自适应滤波

Weak Signal Detection Based on Wavelet Analysis
CHU Jian.Weak Signal Detection Based on Wavelet Analysis[J].Communications Technology,2008,41(8).
Authors:CHU Jian
Affiliation:CHU Jian(Department of Automation,Tianjin University of Technology , Education,Tianjin 300222,China)
Abstract:Aiming at the problems that traditional algorithm or theory is not suitable for monitoring weak signal when detecting the information of water flow in cropland,and in accordance with the principle of separating noises from data by making use of wavelet analysis,a novel algorithm in combination of wavelet analysis with self-adapting filtering is proposed in the paper.The detected weak is separated by the wavelet function and threshold value of each subband is computed respectively,so that the weak signal is ...
Keywords:weak signal  wavelet analysis  self-adaptive filter  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号