wimaxsimulinkmodel

alamouti编码，mimo中空时编码基础锻炼(alamouti coding, mimo hollow exercise when the code base)

This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr constructs in the process. MATLABr is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a “mental block” about computers. Although MATLABr is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help the users become comfortable with the language.

This also a demo of the Particle Swarm Optimization to have a look on the PSO train

电动机的矢量仿真模型。这是基于矢量控制的simulink仿真模型。(Motor vector simulation model. This is based on vector control simulink simulation model.)

高斯消元法MATLAB实现，小报告形式展现(Gaussian elimination MATLAB implementation)

说明：  计算Daubechies小波尺度函数滤波器系数(Function to compute the Daubechies scaling coefficients)

利用matlab的m文件，仿真DPSK的差分相干解调法，从发送数据到接收数据，比较完整(Use matlab m files, simulation DPSK differential coherent demodulation method to send data to receive data from a relatively complete)

matlab编程电子书籍,书中内容较丰富，说明较详实，是matlab编程者的很好学习资料。(eletronic book about matlab programming ，there are plenty of materials in the book, it is a good book for the people with matlab.)

matlab解线性方程组的源代码 function x=nagauss2(a,b,flag) ％ 用途：选列主元Gauss消去法解线性方程组ax=b ％ 格式：x=nagauss2(a,b,flag) a为系数矩阵，b为右端列向量，flag若为0，则显示中间过程 (Matlab solution of linear equations source code function nagauss2 x = (a , b, flag)% purposes : a selection PCA Gauss elimination method for solving linear equations ax = b% Format : nagauss2 x = (a, b, flag) for a coefficient matrix, b subguadratic column vector, if the flag is 0, then showed intermediate process)

TP1_loi_de_bernouli avec matlab