基于小波变换的微弱信息去噪处理  

Chirp Processing Based on the Wavelet Transformation Weak Information

作　　者：梅开乡[1] 夏国宏[1] 

机构地区：[1]黄石理工学院,湖北黄石435003

出　　处：《黄石理工学院学报》2006年第4期18-20,23,共4页Journal of Huangshi Institute of Technology

摘　　要：根据小波变换的基本理论,白噪声的小波特性来阐述小波变换用于“信号去噪处理”的原理,利用M allab塔形分解算法进行“信号去噪”的仿真试验,取得了满意的效果。仿真结果证明:在信号分析中,利用小波变换来实现“信噪分离并提取弱信号”是一种非常有效的方法。According to wavelet transformation elementary theory, and white noise wavelet characteristic , it elaborates the principle about the wavelet transformation used in ＂the signal goes to chirp processing＂. It carries on the simulation experiment by using the Mallab towershaped decomposition algorithm, and has obtained the satisfactory effect. Simulation result proves that in the signal analysing, using the wavelet transforms to realize ＂the letter chirp to separate and to extract the weak signal＂ is an extremely effective method.

关 键 词：小波变换 去噪处理 极值点 Matlab算法 仿真 

分 类 号：TN919.8[电子电信—通信与信息系统]