IEEE14

AR过程的线性建模与功率谱估计，计算其自相关序列的估计，利用所估计的自相关值和Yule-Walker法(自相关法)，估计系数值。(The linear AR process modeling and power spectrum estimation, calculation of the estimated autocorrelation sequence, using the estimated autocorrelation values and Yule-Walker method (autocorrelation method), the estimated coefficient.)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

matlab五子连珠小游戏，回味经典，简单易学(Matlab Five game, a classic, easy to learn)

说明：  matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)

改变窗长的相位差离散频谱校正源程序。改变窗长的相位差校正程序，可选择矩形窗和汉宁窗。已调试通过。(Matlab Codes for phase difference correction based on different window.Rectangle and Hanning Window can be choose to act.)

XPL cabel analyse and modelisation

牛拉法潮流程序,最经典的电力系统潮流计算matlab代码。有详细的注释和各个子函数的功能介绍。(full AC Newton approach)

说明：  这是一个关于自相关算法及功率谱的仿真的源代码，可以供matlab初学者学习，以便今后在做相关研究中有所帮助。(This is the one on self-correlation algorithm and power spectrum of the simulation source code can be used for matlab beginners to learn to do research in the future help.)

ofdm and comb function

实现对洛伦茨系统和chen系统的同步控制，并设计了控制器(Implementation of the lorenz system and synchronization control of the Chen system, and designed a controller )