测量误差与不确定度评定讲座(六) 测量不确定度的评定

在进行测量不确定度的评定时,首先要确定被测量的最佳估计值;其次评定各输入量的标准不确定度,其评定方法可采用A类评定和B类评定;第三计算合成     

基于 IMM 的改进去偏转换测量目标跟踪算法

针对机动目标跟踪,提出一种基于交互式多模型的改进去偏转换测量卡尔曼滤波算法（IMM－MDCMKF）,该算法在多模型中使用了改进的去偏转换测量卡尔曼滤波算法（MDCMKF）。 MDCMKF 算法先通过引入状态估计值对转换误差协方差进行修正,有效地降低了测量噪声对此协方差的影响,然后将修正的转换误差协方差用于目标跟踪问题中的去偏转换测量卡尔曼滤波算法。最后进行的 Monte Carlo 仿真结果表明,所提算法跟踪精度优于 IMM－EKF算法和 IMM－DCMKF 算法。     

Tire Defect Detection Using Local and Global Features

In this paper, we present a tire defect detection algorithm based on sparse representation. The dictionary learned from reference images can efficiently represent the test image. As the representation coefficients of normal images have a specific distribution, the local feature can be estimate by comparing representation coefficient distribution. Meanwhile, a coding length is used to measure the global features of representation coefficients. The tire defect is located by both these local and global features. Experimental results demonstrate that the proposed method can accurately detect and locate the tire defects.     

JJF 1059-1999《测量不确定度评定与表示》讨论之十五测量结果的不确定度与误差的相同之处

1 从其定义来看不确定度与误差相同之处,它们都只能是一个估计值 （1）被测量Y的测量结果γ,作为Y的最佳估计,其误差δ（γ）定义为： δ（γ）=γ-TV（Y）