Time-Delay

说明：  function form refrence matrixP

Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi) + ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].(Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi)+ ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].)

运用拉普拉斯高斯金字塔方法进行景象匹配,实验证明该法能满足实时性和准确性.(The use of Gaussian Laplacian pyramid scene matching methods, experimental proof of the Act can satisfy the real-time performance and accuracy.)

用Matlab程序实现P阶Levinson-Durbin算法。以一个2阶自回归模型（参数为b0=1, a1=0, a2=0.81）和一个2阶滑动平均模型（参数为b0=1, b1=1, b2=1）为例，选取观测数据长度为1000，分别用一个AR(2)模型和一个AR(10)阶模型来估计其功率谱。设激励信号模型的高斯白噪声的均值为0，方差为1。用Levinson-Durbin算法迭代计算AR模型参数，并用估计出的AR模型参数画出观测信号的功率谱。并对Levinson-Durbin算法的性能进行分析。(Write a small MATLAB program that implements the pthorder Levinson-Durbin (L-D). Run/Test the program using a AR(2) process (b0=1,a1=0, a2=0.81) and an MA(2) (bn=1,1,1) process-about 1000 samples. Use L-D with p=2 (for the AR) and 10 (for the MA). Plot the AR spectra produced in the two cases with L-D. List the direct form and the reflection coefficients in a table. Profile the L-D (total number of computations for a pthorder)

math function for learning methods

介绍matlab中simulink仿真工具的使用以及类别，如何搭建kalman滤波的仿真框图(Matlab simulink simulation tools introduced in the use and type, how to build the simulation block diagram of the kalman filter)

Comparison of Nonlinear and Linearized Single Pendulum with ode differences in s-t and period evaluate the linearization(Comparison of Nonlinear and Linearized Single Pendulum with ode differences in s-t and period)

matlab一个有趣的小实验程序，通过这个程序，我们可以获得不小收获(it is a matlab program,)

Matlab code for Heed Protocol

使用卡尔曼滤波器对物体的未来状态进行预测和估计。(Using the kalman filter to predict the station of the object.)