小波基自适应去卷滤波器研究  

Wavelet-based Adaptive Deconvolution Filter

作　　者：刘铁男[1] 任伟建[1] 谢爱华[1] 冯兆冰[1] 张航[1] 

机构地区：[1]大庆石油学院自控系,大庆163318

出　　处：《系统仿真学报》2003年第5期713-714,730,共3页Journal of System Simulation

基　　金：黑龙江省自然科学基金资助项目(A01-14)

摘　　要：为了提高信号处理的精度,熔最小均方滤波、Kalman滤波和小波变换于一炉,提出了小波基自适应去卷滤波器。并用文中方案做了若干仿真实验,结果表明,该滤波器能很好地跟踪反射系数信号,并能滤去高频噪声,平均相对误差在1%以内,表明文中方案是十分有效的。In order to heighten the precision of signal processing, a wavelet-based adaptive deconvolution filter is presented by hybridizing the least mean square filter, the Kalman filter and the wavelet transform. A lot of simulated experiments have been carried out by using the scheme. The results show that the filter can track the reflection coefficient signals and cancel the high frequency noises, and that the average relative error rate is within 1%. This indicates that the scheme is very efficient.

关 键 词：小波变换 最小均方滤波器 KALMAN滤波器 去卷 

分 类 号：O211.61[理学—概率论与数理统计]