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序贯滤波程序 KF

于 2021-02-17 发布文件大小:1KB

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序贯滤波程序：卡尔曼滤波算法（Kalman filtering）一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程。　　序贯算法又叫序贯相似性检测算法，是指图像匹配技术是根据已知的图像模块(模板图)在另一幅图像(搜索图)中寻找相应或相近模块的过程，它是计算机视觉和模式识别中的基本手段。已在卫星遥感、空间飞行器的自动导航、机器人视觉、气象云图分析及医学x射线图片处理等许多领域中得到了广泛的应用。研究表明，图像匹配的速度主要取决于匹配算法的搜索策略。　　(Sequential filtering procedures: Kalman filtering (Kalman filtering) is an algorithm that uses the state equation of a linear system to estimate the optimal state of the system through the input and output observation data of the system. Because the observation data include the influence of noise and interference in the system, the optimal estimation can also be regarded as a filtering process.)

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main.m, 3236 , 2018-11-15
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