非平稳环境下混沌信号的小波去噪方法  

Noise reduction for chaos signal on wavelet in non-stationary environment

作　　者：赵颖[1] 孙鹏勇[1] 

机构地区：[1]辽宁工程技术大学通信与信息系,辽宁阜新123000

出　　处：《电光与控制》2006年第6期60-63,共4页Electronics Optics & Control

摘　　要：针对传统的去噪方法对混沌信号除噪的盲目性,及往往仅对平稳环境或缓慢变化的噪声有效的局限性,本文提出根据信号与噪声在小波域的分布特性及信号和噪声的模极大在细尺度下收敛的横坐标点来检测信号的奇异性,以分形维树理论为依据决定阈值,得到噪声在小波域中的位置以及小波系数大小实现去噪。实验结果证明此法有效可行。Traditional method for noise reduction of chaos signal is objectless and limited, since it is usually only effective for the noise in stationary environment or istics of signal and noise in wavelet domain, the signal changes slowly. According to the distribution character- singularity is detected by the abscissa point converged by maximum mould of signal and noise in minute scale. The threshold is determined according to the fractal di- mensions theory, the position of noise in wavelet domain and the wavelet coefficient are obtained for realizing noise reduction. Simulation result shows that this algorithm is effective.

关 键 词：非平稳环境 混沌信号 离散小波变换 分形维数 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TN911.4[电子电信—通信与信息系统]