摘要
实现了一种新的有效的基于 Morlet小波函数的时频滤波去噪方法。该方法基于 Morlet小波建立恰当的小波滤波器组 ,在时、频域对信号进行滤波 ,对于扫频激励情况下信号噪声的去除十分有效。为了检验该方法的有效性、实用性 ,采用欧洲航空界广泛采用的 GARTEUR飞机模型数据建立密频模态系统 ,进行数值仿真。仿真结果证明 ,该方法在信号去噪方面有很大的实用价值 ,在信号受很大干扰时 ,还能很好地保证具有密集模态的振动系统参数辩识的精度。
A new and effective signal de-noise method based on Morlet wavelet is implemented. By constructing the perfect filter bank the sampling signal can be rid of noise after filtering in time and frequency domain. The method is very effective in sweep frequency input. A numerical simulation is employed to study its validity and utility by using GARTEUR plane model data and to construct three-model system. Result shows that the de-noise approach is very useful and effective to get desired frequency response function when the sampling signal is mixed with noise signal.
出处
《数据采集与处理》
CSCD
2002年第4期459-462,共4页
Journal of Data Acquisition and Processing
基金
国家自然科学基金 (编号 :5 0 0 75 38)
航空科学基金 (编号 :0 0 I5 2 0 74 )资助项目
