QPSK_AWGN

matlab仿真三维物点的透视投影成像 有程序的很好的(matlab simulation of three-dimensional object point perspective projection imaging are very good procedures)

超宽带基础的基本程序,非常不错的小程序,省不少事情啊(the basic procedures, a very good small procedures, many of the things the provincial ah)

采用非线性动力学分析方法来研究互联网拥塞控制系统中存在 的复杂非线性动力学现象，如分岔(bifurcation)、混沌(chaos)等，针对不同参数该组源程序仿真互联网拥塞控制系统频闪模型的非线性动力学现象。(The programs study the dynamic behavior in stroboscopic model of Internet congestion control system is studied. )

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

MATLAB的MLR算法，希望对同学的学习有帮助(mlr MATLAB algorithm, very useful, I hope to learn some help)

随机接入协议P-ALOHA的matlab仿真(P-ALOHA protocol matlab simulation)

二维离散余弦变换的图像压缩 直方图均匀化 数字图像矩阵数据的显示及其傅立叶变换 模拟图像受高斯白噪声和椒盐噪声的影响 (Two-dimensional discrete cosine transform image compression histogram equalization of digital image data matrix display and the analog image by the Fourier transform of Gaussian white noise and salt and pepper noise)

说明：  符号LMS算法的MATLAB实现 并比较误差性能和收敛速度 结果正确 可以直接使用(MATLAB symbolic realization of LMS algorithm and compare the results of error performance and convergence speed can use proper)

精通matlab6.5版_数值计算本章将花较大的篇幅讨论若干常见数值计算问题：线性分析、一元和多元函数分析、微积分、数据分析、以及常微分方程（初值和边值问题）求解等。但与一般数值计算教科书不同，本章的讨论重点是：如何利用现有的世界顶级数值计算资源 MATLAB。至于数学描述，本章将遵循“最低限度自封闭”的原则处理，以最简明的方式阐述理论数学、数值数学和 MATLAB计算指令之间的内在联系及区别。(matlab simulation)

ultra wideband simulation