基于小波包分析的混沌信号消噪研究

Study on noise suppressing from chaotic signal based on wavelet package analysis

由于混沌是一种貌似随机的确定性信号,具有宽频谱的特征,传统的方法不能有效滤除混沌信号中的噪声,文章应用小波包分析方法实现了这一目标。同时,根据混沌信号在各个频段上的能量分布具有"涨落"的特征,提出了一种确定阈值的新标准。研究结果表明,新的阈值标准既能够保证原信号中的有用信息不会出现严重泄露,又能够实现有效去噪。

In this paper, wavelet package analysis is put forward to suppress noise from chaotic signal, which can not be done with the traditional method, because chaotic appears just like some random confirmed sig-nals with the character of wide frequency spectrum. At the same time, according to the fluctuating characteristic at energy distribution on chaotic signal every band,, a new threshold value standard is set up, which can protect use-ful information from being letout in original signal, and suppress noise effectively.