sJGPC_CARIMA_opt1

几种实用的包含数据关联算法的matlab代码文件，内容中包含NN,PDA,JPDA及国际上较新的EM—KF算法的仿真程序，很实用(Several practical contains matlab code file of data correlation algorithm, NN are contained in the content, PDA, JPDA and relatively new in the world is EM- KF algorithm simulation program, very practical)

The distribution network has characteristics different from the transmission system. Distribution networks are commonly 1. three-phase unbalanced 2. radial with sometimes weakly meshed topology 3. with high resistance to reactance (r/x) rations here, an equivalent current injection method is used in rectangular coordinates to analyse the given radial distribution system. The FDLF method uses the NR-algorithm, with a constant Jacobian matrix. This matrix is further decoupled into two identical sub-Jacobian matrices.

MATLAB 教程，适用于初学者，也可用于自学，介绍了MATLAB基本的编程技巧。(MATLAB tutorial for beginners, and can also be used for self-study, MATLAB basic programming skills.)

document for basic learning of OFDM concepts.

matlab code that does singular value decomposition of some data set and denoises the data matrix. after denoising, regression is performed

LTE with SUI channel

This is the MATLAB platform on setting up the simulink model. Hope everyone to correct mistakes

卷积编码器g1=111,g2=101 x为输入的待译码序列 x=[1,0,1,0,0,1,0,0,0,1,0,1,1,1] x=[1,1,0,1,0,1,1,0,0,1] x=[1,1,1,0,0,0,1,0,1,1] a=size(x) 输入序列的长度 s=a(2)/2 译码后的m序列长度为x的一半 m=zeros(1,s) 最终结果存放 ma=zeros(1,s+1) 存放Fa路径的 mb=zeros(1,s+1) 存放Fb路径的 mc=zeros(1,s+1) 存放Fc路径的 md=zeros(1,s+1) 存放Fd路径的(viterbi decoder)

全程:近地倾斜轨道至地球静止轨道转移方案MATLAB程序包，顾名思义。(As the name implies, the MATLAB program package for the transfer scheme from near-Earth tilt orbit to geostationary orbit.)

说明：  （拟合） 用给定的多项式，y=x3-6x2+5x-3，产生一组数据(xi,yi，i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数)，然后用xi和添加了随机干扰的yi作的3次多项式拟合，与原系数比较。 如果作2或4次多项式拟合，结果如何？ ((Fitting) with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add a random disturbance yi ( can be generated rand (0,1) uniformly distributed random number, or rands generated N (0,1) distribution of random numbers), and then added with xi and yi for random interference of the 3 times polynomial fitting, and the original coefficient. If 2 or 4 times for polynomial fitting, the result?)