LINEAR REGRESSION BASED REAL-TIME FILTERING

被引：1

作者：

Batmend, Misel ^{[1
]}

Perdukova, Daniela ^{[1
]}

机构：

[1] Tech Univ Kosice, Fac Elect Engn & Informat, Dept Elect Engn & Mechatron, Letna 9, Kosice 04200, Slovakia

来源：

ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING | 2013年 / 11卷 / 06期

关键词：

Filtering; filtering based on model; linear least squares method; linear regression;

D O I：

10.15598/aeee.v11i6.859

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper introduces real time filtering method based on linear least squares fitted line. Method can be used in case that a filtered signal is linear. This constraint narrows a band of potential applications. Advantage over Kalman filter is that it is computationally less expensive. The paper further deals with application of introduced method on filtering data used to evaluate a position of engraved material with respect to engraving machine. The filter was implemented to the CNC engraving machine control system. Experiments showing its performance are included.

引用

页码：487 / 493

页数：7

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