Alamoudi

说明：  matlab7.0在数字信号处理中的应用.pdf 机械工业出版社出版(matlab7.0 in digital signal processing application. pdf Machinery Industry Publishing House)

Matlab在有限元中的应用经典教程，从结构动力学基本方程到编程方法(Matlab tutorials in classical finite element the basic equation of structural dynamics to the programming method)

运用vs上的控制台编译。主要功能是用于上课点名用的。并且点名时名字是随机出现的。(Class attendance)

matlab最优化程序包括 无约束一维极值问题 进退法 黄金分割法 斐波那契法 牛顿法基本牛顿法 全局牛顿法 割线法 抛物线法 三次插值法 可接受搜索法 Goidstein法 Wolfe.Powell法 单纯形搜索法 Powell法 最速下降法 共轭梯度法 牛顿法 修正牛顿法 拟牛顿法 信赖域法 显式最速下降法(matlab optimization program includes one-dimensional extremum problem without constraint advance and retreat method Fafei Bo Fibonacci golden section method the basic Newton method, global Newton method Newton secant parabola method acceptable to the three interpolation methods Wolfe.Powell search method Goidstein simplex method Searching Powell steepest descent method conjugate gradient method modified Newton method Newton Newton trust region method to be explicitly steepest descent method)

详解MATLAB数字图像处理[张德丰][程序源代码] 源代码第2部分(MATLAB source code, from the book"Digital image processing-using MATLAB" by the Zhang Defeng.)

非常好的M_QAM调制解调程序，具有可视化用户界面，可以查看调制解调过程中每一步的调制图像和频谱(Modem M_QAM very good program, with visual user interface, you can view the modem every step of the process of image and spectrum modulation)

神经网络,数字识别,水印程序,matlab 里面有关于matlab数字识别的多份代码及资料， (Neural network, digital identification, watermark program, matlab inside matlab figures on the number of identification code and information)

在带限信道信号传输的仿真。仿真4PAM调制信号在AWGN信道下的性能，画出误比特率和误符号率。 (In the band-limited signal transmission channel in the simulation. Simulation 4PAM modulated signal in AWGN channel performance.)

【MATLAB GUI设计学习手记】源代码,比较全([Notes] learning MATLAB GUI design source code, compare the whole)

注意：刚上传的不完整，以这个为准 （在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较）(In DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and MMSE Multiuser Detection Performance Comparison)