卡尔曼粒子滤波的MATLAB程序

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )

卡尔曼滤波器的编码程序，基础程序可以好好学习下，希望有帮助！(Kalman filter coding procedures, based on the program can learn under, want to help!)

Statistical Analysis with Practice Problems

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dinning philosopher problem

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vcip的相关MATLAB程序和相关的代码(vcip related procedures and related MATLAB code)

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