Lesson-5

动态矩阵预测控制m语言程序，使用平台matlab。内有注解便于修改(M dynamic matrix predictive control language program, use the platform matlab. There are easy to modify Notes)

说明：  关于解线性方程组的直接法的常见matlab程序。可直接使用 (解线性方程组的直接法)

关于UKF的仿真程序，注释详细，还包含有两个演示程序，分别针对一维和二维的跟踪情况，与EKF作比较，充分说明了UKF在非线性情况下优于EKF(The simulation program on the UKF, comments in detail, also includes two demo program, respectively for the one-dimensional and two-dimensional tracking of cases, compared with the EKF, UKF speaks better than the EKF in nonlinear case)

说明：  模式识别，线性分类器，经调试可用。希望能帮到需要的人。(Pattern recognition, linear classifier, debugging is available. I hope to help people in need.)

用Baum-Welch算法来迭代估计一个隐马尔科夫模型（HMM）的初始状态概率分布以及其状态转移概率矩阵。其中文件有mainfile_B_W.m为主函数，Baum_Welch.m为Baum-Welch算法迭代函数，Forward_variable.m与Backward_variable.m与Gamma_variable.m与Ksi_variable.m是需要计算的四种因子，B_pdf.m为混淆散射概率密度函数。(It s Baum-Welch algorithm for iteratively estimating the initial states probability distribution and state transition probability matrix. In the folder, "mainfile_B_W.m" is the main function, and "Baum_Welch.m" is the iteration Baum-Welch function. Also these four file "Forward_variable.m " "Backward_variable.m" "Gamma_variable.m" "Ksi_variable.m" are used for calculating crucial factors. "B_pdf.m" is the emission probability distrubution function.)

Inverter model of electric drive

book for kalman filter using matlab image processing

一个关于傅立叶级数召开的matlab程序，和应用实例(A Fourier series, held on the matlab program, and application examples)

分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。(Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some kind of algorithm to determine the decision rules to identify with the ability of automatic classification. This paper introduces the Parzen window method using a random pattern classifier, and achieved a simple matlab random pattern classifier.)

说明：  无约束一维极值问题中的斐波那契法，例程可调(Unconstrained extremal problem in one-dimensional Fibonacci method, routine adjustable)