利用相关原理优化小波阈值去噪  

Wavelet Denoising with Threshold Optimization Based on Correlation Principle

作　　者：邓禹[1] 熊静琪[1] 孙锐[1] 李海庆[1] 

机构地区：[1]电子科技大学机械电子工程学院,成都610054

出　　处：《噪声与振动控制》2009年第1期61-64,共4页Noise and Vibration Control

基　　金：金川集团有限公司预研基金

摘　　要：在强噪声干扰下,有用信号的小波变换系数往往比噪声的小波变换系数小,所以采用同一阈值来进行系数处理有可能把一些有用信号抹杀掉。为此,提出一种阈值优化方法,即设计一个权列阵,它根据小波系数在各分解层相应位置的相关性,对阈值的权重进行优化,使各个层、各个点的去噪阈值更精确,从而提高去噪效果,更加完整的保留有用信号,增强信号的抗干扰能力。Actual projects are disturbed sometimes by strong noise so that the wavelet transform coefficients of useful signal are always smaller than those of noise. Hence, the useful signals may be eliminated if the coefficients are processed with the same threshold. To solve this problem, a threshold optimization method is proposed. A weighting array is designed for threshold optimization. And the weighting is optimized according to the relativity of wavelet coefficients in each decomposed layer so that the denoising threshold can be more accurate. The useful signals can be reserved completely. The signal＇s anti-jamming ability can also be enhanced.

关 键 词：振动与波 小波变换 相关性 阈值 去噪 

分 类 号：TN911.72[电子电信—通信与信息系统]