CH10programme

这是一份MATLAB基础课件，由于我也是初学者，这部课件讲的很浅显，但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算， M文件和面向对象编成， 字符串数组， 符号变量， matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 1章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions. This is Chapter 1.)

说明：  ESPRIT 方法解决线性阵列的doa估计问题，希望分享大家(ESPRIT method to solve linear array of doa estimation, I hope to share)

《通信仿真及应用实例》一书 书中实例，对RS码在二进制对称信道的性能进行仿真。(" Communication Simulation and Application," a book in the book example, RS codes on the binary symmetric channel in the performance of simulation.)

ABAQUS UMAT 带剪切非线性HASHIN准则(ABAQUS UMAT)

关于qpsk调制的代码，详细描述和仿真了qpsk的调制过程和AWGN信道(About qpsk modulation code, a detailed description and simulation of the qpsk modulation process and the AWGN channel)

自己调试的GSO程序，简单可运行，适合初学者参考。(The glowworm swarm optimization (GSO) is a swarm intelligence optimization algorithm developed based on the behaviour of glowworms (also known as fireflies or lightning bugs). The behaviour pattern of glowworms which is used for this algorithm is the apparent capability of the glowworms to change the intensity of the luciferin emission and thus appear to glow at different intensities.)

基于S函数的实用光伏模块Matlab仿真模型(S-function utility photovoltaic modules based on Matlab simulation model)

matlab的经典学习资料，是《matlab程序教程》的源代码，有助于你matlab编程能力的提高(Matlab classical learning, "Matlab procedural manuals," the source code, Matlab programming help you in improving their ability to)

群体智能优化：粒子群算法，是一种以鸟群觅食这种社会行为为基础的最佳化寻优技术(particle swarm optimization)

Mann-Kendall Tau-b非线性函数，用于时间序列分析中计算平均变化趋势。(The Mann-Kendall Tau-b non-parametric function computes a coefficient representing strength and direction of a trend for equally spaced data. While you do not need the Statistics Toolbox to compute Taub, you do need it to test for significance. This function will compute Tau-b (now tau-a as well), significance (and the various supporting statistics), and also a non-parametric slope method: Sens Method. )