target_KALMAN

正交最小二乘辨识算法 该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数(OLS Orthogonal Least Quares. [x, ind] = OLS(A,b,r) gives the solution to the least squares problem using only the best r regressors chosen from the ones present in matrix A. This function also returns in the vector ind the indexes of the best r regressors (i.e., the best columns of A to use). If r is equal to n, the solution x given by OLS is the same as the solution given by A, but in ind we still have the regressors sorted by their importance. This means that one can perform a feature selection by taking the first k entries in ind (k<r).)

交互式多模型Kalman滤波在目标跟踪应用中的程序，可以直接运行的源代码(Interacting multiple model Kalman filtering in target tracking application program can be directly run the source code)

dynamic time warping

通过建立状态空间模型，使用simulink仿真，其中包括了kalman滤波(Through the establishment of the state space model, using the simulink simulation, including the kalman filter)

展示GUI中如何在回调函数和其他函数中实现函数嵌套。(Demonstrate use of nested functions for callbacks and other functions.)

基于Kalman滤波算法的自适应AR模型(Adaptive Kalman filtering algorithm based on AR model)

说明：  精通Matlab综合辅导与指南.其中有一些程序。适合于自学。(Proficient in Matlab comprehensive counseling and guidance. Some of these programs. Suitable for self-study.)

核密度估计的parzen窗法，简单易用，适合于初学非参数估计的用户。(Kernel Density Estimation parzen window method, easy to use, suitable for novice non-parametric estimation of the user.)

第9章 方程求根.zip。是从书中光盘里直接拷贝的代码，放在这里，与大家共享，共同交流，希望对大家有帮助。(Chapter 9 Equations in One Variable)

在matlab上面实现lms算法的一些功能验证(matlab lms )