| 基于小波变换的非平稳信号分析与处理 |
| |
| 引用本文： | 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, 2014, 0(1): 63-69 |
| |
| 作者姓名： | 张晗博 殷奕 殷奎喜 |
| |
| 作者单位： | [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 |
| |
| 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）. |
| |
| 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.
|
| 关 键 词： | 短时傅里叶变换 小波变换 非平稳信号 时频分析 |
Non-Stationary Signals Analysis and Processing Based on Wavelet Transform |
| |
| Affiliation: | Zhang Hanbo ,Yin Yi ,Yin Kui ( 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) |
| |
| 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. |
| |
| Keywords: | STFT WT non-stationary time-frequency analysis |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
