CHAPTER1

1.) 1ST ORDER E FIELD OUTER RADIATION BOUNDARY CONDITION (ORBC) 2.) 2ND ORDER E FIELD OUTER RADIATION BOUNDARY CONDITION (ORBC) 3.) CAPABILITY TO SPECIFY DIRECTION AND POLARIZATION OF INCIDENT PLANE WAVE 4.) ERROR CHECKING FOR NTYPE AND IOBS, JOBS AND KOBS FOR NEAR ZONE FIELD SAMPLING IN SUBROUTINE DATSAV 5.) ERROR CHECKING OF IDONE, IDTWO AND IDTHRE VALUES

这是MATLAB进行信道建模的例子，有兴趣的同志可以下来看看，总有帮助的(This is the MATLAB modeling channel to the example of the comrades who are interested can look at it, there is always help)

Digital Signal Processing Solution for AC Induction Motor

Simple imlementation of hamming code (7,4) The genearator matrix is given by Reference of book Error Correction coding Mathematical models and alogrithms Chapter 1, Hamming Codes code is hamming code (7,4)

矩量法matlab求对称阵子天线方向图,同时附有Hallen方程的解题思路(MoM dipole antenna)

说明：  微型光伏并网逆变器，具有MPPT功能，采用推挽式电路，以及全桥spwm逆变，额定功率300w(this model is a micrc PV integration model with MPPT function)

这是我先根据MATLAB设计的一个FIR滤波器，然后c语言实现，是二阶的，非常好用。(This is my first one under the MATLAB FIR filter design, and then c languages to achieve, is the second order, quite well.)

说明：  使用ADI方法解偏微分方程（二微加热器方程）(ADI method for the use of partial differential equations (2 micro-heater equation))

1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据 输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 (1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness)

matlab adaptive probabilty