梯度均值预测滤波算法及其应用  

Gradient Mean Prediction Filtering Algorithm and its Application

作　　者：盛明兰[1] 蓝章礼[1] 周建庭[2] 

机构地区：[1]重庆交通大学信息科学与工程学院,重庆400074 [2]重庆交通大学土木工程学院,重庆400074

出　　处：《计算机科学》2009年第7期300-302,共3页Computer Science

基　　金：国家自然科学基金(50878219);重庆市科技术攻关项目(CSTC;2008AC6099);重庆市杰出青年基金(CSTC;2008BA6038);重庆市教委科技基金;重庆交通大学青年骨干教师基金资助

摘　　要：测量误差不可避免的存在于各种测量系统之中。针对缓慢变化的测量数据中存在的随机误差,结合传统滤波方法的优点,提出了梯度均值预测滤波算法,阐述了算法的基本思想和流程,并结合桥梁挠度连续测量系统的测量数据进行了滤波实验,结果表明,该算法能够有效去除缓慢变化的测量数据中的干扰信号,滤波效果明显。The existence of measurement error is inevitable in a variety of measurement systems. Combining with the advantages of the traditional filter methods, the gradient mean prediction filtering algorithm was proposed in view of the random errors existence in slowly changing measurement data. The basic idea of the algorithm and flow were described. A filtering experiment was done using the measurement data of bridge continuous deflection measurement system. The result indicated that the algorithm can effectively remove the interference signal in slowly changing data, and the filter effect is obvious.

关 键 词：测量误差 滤波 梯度均值预测 算法 

分 类 号：TP202.2[自动化与计算机技术—检测技术与自动化装置]