自适应小波去噪算法及其在偏心补偿中的应用  

Self-Adaptive Wavelet Threshold De-Noising Method and Its Application in the Compensation of Roll Eccentricity Signal

作　　者：李道平[1] 姚小兰[1] 伍清河[1] 曲亦直[1] 

机构地区：[1]北京理工大学自动化学院,北京100081

出　　处：《北京理工大学学报》2010年第2期179-182,196,共5页Transactions of Beijing Institute of Technology

摘　　要：针对液压自动厚度控制(AGC)系统中轧辊偏心信号的补偿问题,提出一种基于自适应小波阈值去噪算法的补偿方法.该方法根据噪声在小波变换下的特性自适应地确定小波分解的阈值,将去噪信号的信噪比作为性能指标,采用黄金分割法进行寻优,得到最优的阈值参数.仿真结果表明,该方法比原有的阈值去噪方法效果更佳,对液压AGC系统中轧辊的偏心信号具有良好的补偿效果.To solve the problem of compensation of roll eccentricity signal of hydraulic automatic gauge control（AGC） system,a new method based on adaptive threshold de-noising method is proposed.The new method can self-adaptively decide the threshold of wavelet analysis,and make the SNR as a function of the parameter of the filter to acquire the optimal threshold parameter using golden section method.Simulation shows that the result of de-noising with this new method is much better than the original method and have a better result on the compensation of roll eccentricity signal on hydraulic AGC system.

关 键 词：自适应 小波阈值去噪 偏心补偿 黄金分割法 

分 类 号：TP334.9[自动化与计算机技术—计算机系统结构]