buck-boost

code matlab for clustering

Simple simulink model BPSK

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：  约瑟夫问题的实现：设有n个人围坐在圆桌周围，现从某个位置m（1≤m≤n）上的人开始报数，报数到k的人就站出来。下一个人，即原来的第k+1个位置上的人，又从1开始报数，再报数到k的人站出来。依此重复下去，直到全部的人都站出来为止。试设计一个程序求出出列序列。(Joseph realized the problem: There are n people sitting around the round table, is from a position of m (1 ≤ m ≤ n) reported on the number of people began to be reported to the k number of people to come forward. The next person, that is, the original positions on the first k+1 people, and from the number reported at 1, then the number reported to the k to stand up. So repeat this until all the others can stand up. Try to design a program derived from the column sequence.)

一维球坐标系下辐射传递方程切比雪夫配置点谱方法求解(One-dimensional spherical coordinates radiative transfer equation Chebyshev collocation spectral method for solving)

Matlab的序列测试程序，有好多测试，比较实用。(Sequence test program Matlab, there are a lot of testing, more practical.)

Help for Writing Level-2 M-File S-Functions

其中包括 matlab PPT版本介绍 和 MATLAB实例源文件()

MATLAB的cca算法实现，输入数据集，输出系数矩阵(Realization of CCA algorithm in MATLAB)

标定程序 用在立体视觉 (calibrate stereomatching)