invertedpendulum

“袋子模型”特征描述演示，有注释，以及人脸库(bag of the words demo)

有相位跳变的单频信号，信号时域波形的刻画和FFT程序。注释完整，可读性高。(a single-frequency signal with phase jump and its FFT is described in this program and the explain is detailed, easy to read.)

说明：  一些matlab学习用资料和数据分析的相关资料，供学习python和数据分析的使用。(Some matlab learning materials and data analysis related materials are used for learning python and data analysis.)

说明：  协作通信下AF协作模式的MATLAB仿真代码(cooperative communication)

for Counting all repetitions of each elements repeated occurrences within a vector

MATLAB GUI（Graphical User Interfaces- 图形用户界面）设计与制作(Designing of MATLAB GUI（Graphical User Interfaces）)

S-curve simulation in matlab

PLS算法 采用归一化 拟合更好的非线性迭代偏最小二乘法（NIPALS）(PLS algorithm using normalized fitting better nonlinear iterative partial least squares (NIPALS) )

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

BP神经网络算法，贝叶斯-最小距离分类器，可以用于模式识别。(BP neural network algorithm, Bayesian minimum distance classifier, can be used for pattern recognition)