[1]许国威 马胜前 危淑平.基于LabVIEW与MATLAB的自适应滤波器设计研究[J].计算机技术与发展,2011,(01):226-229.
 XU Guo-wei,MA Sheng-qian,WEI Shu-ping.Design and Research of Adaptive Filter Based on LabVIEW and MATLAB[J].,2011,(01):226-229.
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基于LabVIEW与MATLAB的自适应滤波器设计研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年01期
页码:
226-229
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Design and Research of Adaptive Filter Based on LabVIEW and MATLAB
文章编号:
1673-629X(2011)01-0226-04
作者:
许国威 马胜前 危淑平
西北师范大学物理与电子工程学院
Author(s):
XU Guo-wei MA Sheng-qian WEI Shu-ping
College of Physics and Electronic Engineering, Northwest Normal University
关键词:
实验室虚拟仪器集成环境自适应滤波器LMS算法RLS算法
Keywords:
laboratory virtual instrument engineering workbenchadaptive filter LMS algorithm RLS algorithm
分类号:
TP391
文献标志码:
A
摘要:
针对MATLAB环境下设计自适应滤波器不便构建成一个虚拟仪器系统的问题,采用LabVIEW和MATLAB混合编程方法,通过LabVIEW中的MATLABScript节点导入MATLAB脚本程序,设计了基于LMS、RLS两种算法的自适应滤波器,并在LabVIEW与MATLAB环境下进行了仿真对比。实验结果表明,所设计的虚拟滤波器性能良好,编程容易,人机接口界面良好,便于工程技术人员快速开发,在现代信号处理领域有很好的参考价值
Abstract:
In order to solve the problem that adaptive filters are inconvenient to design a virtual instrument system by MATLAB, this paper intended to develop two adaptive filters by the method of mixed program between LabVIEW and MATLAB, and which based on the LMS and RLS algorithms by MATLAB programme that was imported by MATLAB Script Node of LabVIEW. And the two algorithms simulation results is compared with the software of MATLAB. The simulation results shows the effectiveness, simple programming, and good man-machine interface of the adaptive filters. It can be convenient for engineers to develop efficiently, which has good application value in the field of modern digital signal processing

相似文献/References:

[1]许国威 马胜前 危淑平.自适应滤波RLS算法研究与DSP实现[J].计算机技术与发展,2010,(10):35.
 XU Guo-wei,MA Sheng-qian,WEI Shu-ping.Research to RLS Algorithm of Adaptive Filter and Its DSP Realization[J].,2010,(01):35.

备注/Memo

备注/Memo:
国家自然科学基金资助项目(20927004);西北师范大学科技创新工程资助项目(NWNU-KJCXCC-03-24)许国威(1983-),男,湖北仙桃人,硕士研究生,研究领域为计算机测量与控制和自适应信号处理;马胜前,教授,硕士研究生导师,主要研究领域为计算机测量与控制和自适应信号处理
更新日期/Last Update: 1900-01-01