摘要
利用卡尔曼滤波算法对汽车零部件检测数据进行了处理和分析.研究结果表明,所建立的卡尔曼滤波算法是收敛的、合理的,能够去除噪声干扰,提高采集数据的精度.
In this paper,kalman filter algorithm is used to process and analyze data of automobile components＇ detection.The results show that the kalman filter algorithm is convergent and reasonable.This kalman filter algorithm can remove noise and improve the accuracy of collecting data.
出处
《湖北工业大学学报》
2011年第4期34-36,共3页
Journal of Hubei University of Technology
关键词
卡尔曼滤波
检测
数据处理
kalman filter
detection
data processing
