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In order to model the chaotic motion of the double pendulum,i am going to use Matlab solving the problem using numerical methods such as Rung-Kutta and Ordinary Differential Equations (ODE).

带通滤波，对输入的数据进行带通滤波，采样频率为实际频率的16倍，里面有关于矩阵和数据变换的程序，大家可以自己转换(Band-pass filter, the data input bandpass filter, the sampling frequency is 16 times the actual frequency, which on the matrix and data transformation process, we can convert their own)

model complet regulator in enghislh cmpletiii regularores completos

Step 1: Set i=1 FA=f(a) Step 2: while i≤ No do step 3-6. Step 3 set p=(a+b)/2 FP=f(p) Step 4 if FP<TOL or (b-a)/2<TOL then OUTPUT(p) STOP. Step 5 set i=i+1 Step 6 if FA.FP > 0 then set a=p FA=FP else set b=p. Step 7 OUTPUT (‘Method failed after No iteration,No=’, No) STOP.

An example that illustrates the importance of shift-invariance is image denoising by thresholding where the lack of shift-invariance causes pseudo-Gibbs phenomena around singularities.In addition to shift-invariance, it has been recognized that an efficient image representation has to account for the geometrical structure pervasive in natural scenes. In this direction, several representation schemes have recently been proposed

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

说明：  基于当前统计模型的matlab程序仿真实现(Statistical model based on the current simulation matlab program to achieve)

一个大规模的MIMO仿真平台开发程序，MATLAB仿真(A large-scale MIMO simulation platform development process, MATLAB simulation)

这是一个matlab的源码。代码实现了图像的level set 分割方法(This is a matlab source. Code to achieve the level set image segmentation method)

輸入兩個由TF, ZPK, SS 或 FRD建立的system function後，程式會自動計算在riemann plot上的Chordal distance值。(function delta=chordal(G1,G2) This is the Chordal distance calculation tool on riemann plot. )