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利用KALMAN函数对运动物体进行跟踪，有较好的效果
,make use of KALMAN function to track moving objects, which have a good result
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扩展卡尔曼滤波与粒子滤波的比较，对某复杂函数曲线的跟踪。-Extended Kalman filter and particle filter compared to the complexity of a function curve tracking.
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带高斯白噪声的Kalman滤波Matlab代码，每一步都有详细的注释，和kalman滤波的五个公式对应。并有高斯白噪声的产生函数，function G = CreateGauss(E,D,M,N) 产生均值为E,方差为D,MxN的高斯白噪声矩阵-The Matlab code of Kalman filter with Gaussian white noise.
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EKF2.0 利用扩展卡尔曼滤波器实现的SLAM算法，Matlab版本，是一个模拟的程序。运行方法为先载入mat，再运行XXX_sim函数。-EKF2.0 using the extended Kalman filter SLAM algorithm, Matlab version, is a simulation program. The method of operation for the first load the mat, run XXX_sim function.
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