计算机工程与应用2016，Vol.52Issue(18)：199-202,4.DOI:10.3778/j.issn.1002-8331.1511-0202
基于三维曲波变换的弱信号恢复方法研究
Method of weak signal recovery based on 3D-curvelet transform
摘要
Abstract
Conventional methods of weak signal recovery are limited under strong noise condition. Useful information is often submerged in heavy noise, which is not easy to identify. As to this problem, a weak signal recovery method based on 3D-curvelet transform is proposed in this paper. Combining 3D-curvelet transform with the adaptive filter is to recover weak signal. Model of wedge and actual data are processed by this method. The experimental results show that the signal to noise ratio of data improves 2 dB to 3 dB and the frequency is increased 150 Hz. Obviously, the weak signal is recovered.关键词
弱信号恢复/三维曲波变换/信噪比/自适应最优阈值/自适应滤波器Key words
recovery of weak signal/3D-curvelet transform/signal to noise ratio/adaptive optimal threshold/adaptive filter分类
信息技术与安全科学引用本文复制引用
胡雨,谢凯,阮宁君,伍鹏,贺建飚,刘从浩..基于三维曲波变换的弱信号恢复方法研究[J].计算机工程与应用,2016,52(18):199-202,4.基金项目
国家自然科学基金（No.61272147）；湖北省教育厅项目（No.B2015446）。 （）
