首页 | 本学科首页   官方微博 | 高级检索  
     

自适应滤波和子波变换在信号消噪中的应用
引用本文:袁小滨,李京华,许家栋. 自适应滤波和子波变换在信号消噪中的应用[J]. 长安大学学报(自然科学版), 2004, 24(6): 94-97
作者姓名:袁小滨  李京华  许家栋
作者单位:1. 长安大学,信息工程学院,陕西,西安,710064
2. 西北工业大学,电子信息学院,陕西,西安,710072
基金项目:国防重点实验室基金项目(51454020101HK0307)
摘    要:研究了RLS(递推最小二乘)自适应滤波器和小波消噪方法的滤波特性,在仿真的基础上选取两者作为实际采集信号的消噪处理方法。为了取得较好的消噪效果,对不同类型的信号采用不同的处理方法,对于特定的信号可采用将两者相结合的方法。处理结果表明,所选用的方法消噪效果明显。

关 键 词:信号处理  消噪  RLS自适应滤波器  小波阈值消噪
文章编号:1671-8879(2004)06-0094-04
修稿时间:2003-12-30

Application of RLS (recursive least-squares) adaptive filter and wavelet transform method in canceling signal noise
YUAN Xiao-bin,LI Jing-hua,XU Jia-dong. Application of RLS (recursive least-squares) adaptive filter and wavelet transform method in canceling signal noise[J]. JOurnal of Chang’an University:Natural Science Edition, 2004, 24(6): 94-97
Authors:YUAN Xiao-bin  LI Jing-hua  XU Jia-dong
Affiliation:YUAN Xiao-bin~1,LI Jing-hua~2,XU Jia-dong~2
Abstract:The characteristics of recursive least-squares adaptive filter and wavelet threshold de-noising method were introduced. Based on the simulation, those method were utilized to process the real sampling signal. In order to get better results, the different types of data were proccessed by different ways. To special type of signal, the combination of two methods was adopted. The results show that those methods perform well.
Keywords:signal processing  noise reduction  RLS adaptive filter  wavelet threshold de-noising
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号