MATLAB_Simulink

基于LDA的人脸识别软件，malab环境。很不错。(LDA-based face recognition software, malab environment. Is pretty good.)

上传资料的说明不同傅里叶变换形式直接的联系(this describe switch between all kind of fuliye s format )

Code to obtain the filtering function polynomials F(s), E(s) and P(s), and the constants eps and eps_r from transmission zeros, with Cameron s method.

This set of scripts allows the shadowing of a building to be simulated. It allows the interference between two systems operating at the same frequency to be studied. This simulation can do two main types of simulations: 1. Animated simulation where we have a fixed system, with one or more transmitters, and a single mobile interfering user. The shadowing for the mobile user and the interference it generates can be studied. The animations store each frame as a JPG file, which can be imported in to a video editing package to be converted to a movie. 2. Interference between two systems at the same frequency, each with multiple transmitters

programas cesar y polybios

matlab简明教程，有大量实例，供大家参考学习！(matlab simple tutorial, a large number of instances, for your reference to learn!)

pcm编解码模型，测试指定误码条件下PCM解码语音信号的音质和可懂度(pcm codec model, sound quality and intelligibility test conditions specified BER PCM decoded speech signal)

Computes the minimum distance between two different shape polygons. (Vertex-vertex case)

本文将排课五要素绑定、封装成课元、课栈两个向量，并以二维权值矩阵描述课元 和课栈之间的关联系。 提出了最佳匹配和遗传算法的排课算法，以随机生成的二维数字矩阵来反映课元和 课栈的关联权重，对数字矩阵组处理和最佳匹配得到的匹配偶图组为遗传算法的初始种 群，以排课各种原则的加权和为目标函数，在遗传算子控制下迭代来寻求更优的匹配结 果即使目标函数最小的偶图匹配结构，进而得到满意的排课结果。 提出了关联匹配和禁忌搜索的排课算法，以随机二维数字矩阵描述课元和课栈之问 的关联权重，按照重权优先并根据正确性原则进行约简，获得课元和课栈之间的匹配偶 图。在此基础上，引入禁忌搜索算法，以排课的完备性原则、合理性原则和人性化原则 的加权和为目标函数，以随机二维权值矩阵生成的匹配偶图为初始解，对二维权值矩阵 进行扰动构成搜索邻域，以生成的匹配偶图为禁忌对象，采用全局藐视准则，获得最优 的排课方案。 以Matlab为平台，利用Excd数据库和Mallab的互联实现数据交换，编写了两套 算法的应用程序，通过实例来验证两套排课算法，结果表明两套算法是可行的。(Arranging the five elements of this paper, binding, packaging into a class element, class stack of two vectors and matrices described by two classes per Rights And the relationship between class stack link. Offers the best match and Genetic Algorithm Platoon algorithm to randomly generated two-dimensional figures to reflect the class element and matrix Class stack associated with weight, the digital matrix group received treatment and the best matching group bipartite graph matching the initial kind of genetic algorithm Group to the weighted course arrangement of principles and the objective function, under the control of the genetic operator iteration to seek the better match Results Results even if the objective function structure of the smallest bipartite graph matching, and then Timetabling satisfactory results. Match the proposed association Timetabling algorithm and tabu search, a random two-dimensional digital matrix element and the class description class stack of Q)

机器学习实战 第六章 Machine Learning in　Action Charpter6 instance(Machine Learning in　Action Charpter6 instance)