[1]张晗博,殷 奕,殷奎喜.基于小波变换的非平稳信号分析与处理[J].南京师范大学学报(工程技术版),2014,14(01):063-69.
 Zhang Hanbo,Yin Yi,Yin Kuixi.Non-Stationary Signals Analysis and Processing Based on Wavelet Transform[J].Journal of Nanjing Normal University(Engineering and Technology),2014,14(01):063-69.
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基于小波变换的非平稳信号分析与处理
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
14卷
期数:
2014年01期
页码:
063-69
栏目:
出版日期:
2014-03-31

文章信息/Info

Title:
Non-Stationary Signals Analysis and Processing Based on Wavelet Transform
作者:
张晗博1殷 奕2殷奎喜1
(1.南京师范大学物理科学与技术学院,江苏 南京 210023) (2.南京师范大学计算机科学与技术学院,江苏 南京 210023)
Author(s):
Zhang Hanbo1Yin Yi2Yin Kuixi1
(1.School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China) (2.School of Computer Science and Technology,Nanjing Normal University,Nanjing 210023,China)
关键词:
短时傅里叶变换小波变换非平稳信号时频分析
Keywords:
STFTWTnon-stationarytime-frequency analysis
分类号:
TN95
文献标志码:
A
摘要:
针对傅里叶变换在非平稳信号分析中的难点问题,将小波变换和短时傅里叶变换应用于典型的非平稳信号,进行时频分析研究,所获得的特性比普通的傅里叶变换构成的频谱分析结果更清晰、准确,表明这两种时频分析方法独有的优越性、正确性、实用性.小波的多分辨特性更使得分析结果优于短时傅里叶变换.在此基础上用该方法对小波时频分析方法的抗噪性能进行研究,并从小波基函数的性质和实际仿真效果两方面设定参数,得出最优分析结果,改善了小波时频分析方法在高频处频率不易确定的问题.
Abstract:
For the limitation of the Fourier transform,the wavelet transform and short-time Fourier transform are applied to typical non-stationary signals.The time-frequency characteristics obtained is more clear and accurate than traditional FFT spectrum analyze,indicating that the two time-frequency analysis methods are practical and advanced.And the multiresolution feature makes the analysis results better than short time Fourier transform.On the basis,study the anti-noise performance and choose appropriate parameter to get optimal results,improving the problem of poor frequency resolution at high frequencies of wavelet time-frequency analysis method.

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备注/Memo

备注/Memo:
收稿日期:2013-07-05.
基金项目:江苏省普通高校自然科学研究计划资助项目(2010119TSJ0119)、南京师范大学引进人才科研启动基金(2010119XGQ0085).
通讯联系人:殷奎喜,教授,博士生导师,研究方向:移动通信、电子信息处理.E-mail:yinkuixi@njnu.edu.cn
更新日期/Last Update: 2014-03-31