小波分析在混沌信号识别中的应用研究  

Application of wavelet analysis in identifying chaotic signal

作　　者：刘树勇[1] 潜伟建[1] 朱石坚[1] 

机构地区：[1]海军工程大学振动与噪声研究所,湖北武汉430033

出　　处：《海军工程大学学报》2003年第1期76-79,共4页Journal of Naval University of Engineering

摘　　要：通过分析混沌信号和噪声信号的频谱特性以及小波变换对两种信号的作用结果的差异,论证了小波变换是一种有效的去除混沌信号中噪声成分的方法.通过数值仿真研究,证明了小波方法的有效性.最后给出了实验结果.The frequency spectrum features of chaotic signal and noise signal are analyzed, and the influence of wavelet transform on these two signals is discussed. It is pointed out that the wavelet transform is an effective method to eliminate the noise component in the chaotic signal. It is proven by numerical simulation. At last the experiment result is provided.

关 键 词：混沌信号 小波分析 噪声信号 去噪原理 

分 类 号：TN911.72[电子电信—通信与信息系统]