高聚焦时频分析算法研究  

Study on well⁃focusing time⁃frequency analysis algorithm

作　　者：乔丽红[1,2] 卫彬 杨铁军 秦瑶[1] QIAO Lihong;WEI Bin;YANG Tiejun;QIN Yao(College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China;Key Laboratory of Food Information Processing and Control,Ministry of Education,Zhengzhou 450001,China)

机构地区：[1]河南工业大学信息科学与工程学院,河南郑州450001 [2]粮食信息处理与控制教育部重点实验室,河南郑州450001

出　　处：《现代电子技术》2020年第13期40-43,48,共5页Modern Electronics Technique

基　　金：河南省科技攻关(172102210030);河南省骨干教师培育计划(2017GGJS070);校级青干教师项目(21420004);粮油品质检测新型信息方法与技术(KFJJ⁃2016⁃106);河南工业大学科学研究基金(省属高校基本科研业务费专项资金)自然科学项目(人才支持计划)(2017RCJH01);河南省自然科学基金项目(182300410146)。

摘　　要：时频分析技术是研究非平稳信号时频分布的重要手段,但传统的时频分析技术无法精确地反映信号的时频分布特点。文中主要介绍了三种高聚焦时频分析技术:小波变换(WT)、同步挤压小波变换(SSWT)、CWT-based ConceFT。首先分别阐述了以上三种高聚焦时频分析技术的原理,然后将这三种高聚焦时频分析方法应用于非平稳信号,并比较它们的时频分析效果。结果表明,SSWT和CWT-based ConceFT明显提高了小波变换的时频分辨率,小波变换和同步挤压小波变换的噪声鲁棒性较差,CWT-based ConceFT的噪声鲁棒性较好。The time⁃frequency analysis technology is an important means to study the time⁃frequency distribution of non⁃stationary signals,but the traditional time⁃frequency analysis technology cannot accurately reflect the characteristics of time⁃frequency distribution of signals.In this paper,three well⁃focusing time⁃frequency analysis techniques,e.g.wavelet transform(WT),synchrosqueezed wavelet transform(SSWT),CWT⁃based concentration of frequency and time(CWT⁃based ConceFT)are introduced.The principles of the three well⁃focusing time⁃frequency analysis techniques are expounded respectively.The three technologies were applied to non⁃stationary signals for comparing their time⁃frequency analysis effects.The experiment results show SSWT and CWT⁃based ConceFT have improved the time⁃frequency resolution of wavelet transform obviously,and the noise robustness of CWT⁃based ConceFT is better than that of WT and SSWT.

关 键 词：时频分析 小波变换 同步挤压小波变换 CWT-based ConceFT 时频分辨率 噪声鲁棒性 

分 类 号：TN911.6-34[电子电信—通信与信息系统]