SA_TSP

bpsk and qpsk in matlab

说明：  上传RBF源程序，希望能对大家学习有所帮助，并请提出宝贵的意见和建议！(upload source, in hopes of learning we can help, and requested the valuable advice and suggestions!)

优化相关的最大值与最小值极大值极小值问题(Optimization-related maximum and minimum maximum minimum problem)

说明：  《MATLAB 7.X系统建模与仿真》一书的完整光盘源代码。(&quot MATLAB 7.X System Modeling and Simulation&quot of a book on CD-ROM source code integrity.)

字母图像识别算法，O, E, A, U 四个字母进行识别，该算法加入一定噪声之后依然有效。(The basic goal of the program is to perform letter recognition of vowels O, E, A, U in paragraphs provided in form of black-and-white images. Using the training paragraph image, we are allowed to train our program to distinguish among letters. Some difficulties that need to be resolved are noise, joined letters, scaled or tilted letters, and distinguishing between letters that are similar to each other. )

Matlab 仿真程序 用于画眼图等~~(Matlab simulation program used to draw the eye diagram, etc. ~ ~)

Purpose: build the ID array of system dofs to apply displacement constraints Synopsis: [csdof,sid]=fe_sdofID(discons,ndof,nnode) Variable Description: csdof - the number of system dofs after constraints applied sid - ID matrix of system dof formatted as nnode*ndof discons - matrix record the node of displacement constrain ndof - number of dofs per node nnode - number of nodes in system(Purpose: build the ID array of system dofs to apply displacement constraints Synopsis: [csdof,sid]=fe_sdofID(discons,ndof,nnode) Variable Description: csdof- the number of system dofs after constraints applied sid- ID matrix of system dof formatted as nnode*ndof discons- matrix record the node of displacement constrain ndof- number of dofs per node nnode- number of nodes in system)

利用线性反馈移位寄存器产生伪随机数，在通信系统中应用(Using a linear feedback shift register to generate pseudorandom numbers, the application in a communication system)

说明：  抛物线法求解 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. (parabolic equation method Construction Methods : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)

建立自回归滑动平均时间序列模型ARIMA,用来预测未来数据值(time series model-ARIMA to predict the future value )