svm_train

Maquinas 2, eletric machines brazil!

说明：  MATLAB简易教程，适合初学者使用，内容很全，但不是很深入(Layman' s Guide to MATLAB for beginners to use, the content is very full, but not very in-depth)

reading Ply format file and exract vertex and face matrix for 3D-Objects

该程序为matlab程序，共有三个文件，dataC.m为程序入口，实现功能对50组数据用k均值算法进行分类，再对40组数据用感知器算法训练，然后用训练得到的判别函数对剩下10组数据分类，最后与原始分类做差比较，若分类无误，则全显示为0.(Matlab program on the program, a total of three files dataC.m for program entry features 50 sets of data with k-means algorithm to classify 40 sets of data with the training of the perceptron algorithm, and then using the trained discriminant function The remaining 10 sets of data classification, and finally with the original classification poor comparison, if the classification is correct, then the whole show.)

Calculates satellite coordinates

建立一个stack，可以pop push delete stack里面的characters，同时可以检测stack是否为空或者已满(The establishment of a stack, you can pop push delete stack inside the characters, and can detect whether stack is empty or full)

利用simulink仿真PID闭环跟随器，其中利用的S函数的编程(Simulink simulation PID closed loop follower, including the use of the S-function programming)

A Point on an Elliptic Curve in barycentric (or affine) coordinates.

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

说明：  使用一种方法来产生一组具有不同PSD的相关高斯过程的采样值(Use a method to generate a set of different Gaussian process of PSD-related samples)