ParticleFilterSim

提取图片中数字的MATLAB程序，先将读入图片二值化，然后提取数字。(abstract the numbers in the picture by MATLAB。)

一个查找表的程序，使用了matlab和C语言混合编程实现，提高查找效率(A look-up table of procedures, the use of matlab and C mixed-language programming, improve search efficiency)

MATALAB课件和数学建摸的基本实验，对初学者很有帮助。(MATALAB courseware and mathematical modeling of basic experiments, very helpful for beginners.)

model simulink of 10 bit pipelined adc

说明：  局部放电小波去噪，采用db5小波进行5层分解，最后重构信号(Partial discharge wavelet denoising, db5 wavelet is used for 5-level decomposition, and finally the signal is reconstructed)

material talks about some basic knowledge about matlab

说明：  matlab 编程资料下载，希望能帮到你们(Download matlab programming, hope to help you)

随机森林分类代码，，很详细，，含有含多个函数文件(Random forest classification code, very detailed, containing containing multiple functions file)

第 5 代移动通信系统 (5G) 是面向 2020 年之后的新一代移动通信系统 , 其技术发展尚处于探 索阶段 . 结合国内外移动通信发展的最新趋势 , 本文对 5G 移动通信发展的基本需求、技术特点与可 能发展途径进行了展望 , 并分无线传输和无线网络两个部分 , 重点论述了富有发展前景的 7 项 5G 移 动通信关键技术 , 包括大规模天线阵列、基于滤波器组的多载波技术、全双工复用、超密集网络、自 组织网络、软件定义网络及内容分发网络 . 本文还概括性地介绍了国内 5G 移动通信的相关研发活 动及其近期发展目标 .(The fifth generation mobile communication system (5G) is a new generation of mobile communication system after 2020. Its technological development is still in the exploratory stage. Combining with the latest trends of mobile communication development at home and abroad, this paper prospects the basic needs, technical characteristics and possible development ways of 5G mobile communication development, and divides wireless transmission and wireless network into two parts, focusing on rich. Seven key technologies of 5G mobile communication, including large-scale antenna array, filter bank-based multi-carrier technology, full duplex multiplexing, ultra-dense network, self-organizing network, software definition network and content distribution network, are prospected. The related research and development activities and recent development goals of 5G mobile communication in China are also briefly introduced in this paper.)

功能：用BFGS算法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun分别是目标函数及其梯度； varargin是输入可变参数变量，简单调用bfgs时可以忽略它， 但是其他程序循环调用时将会发挥重要作用 输出：x,val分别是近似最优点和最优值，k是迭代次数。(Function: BFGS algorithm for unconstrained problem: min f (x) Input: X0 is the initial point, fun, gfun each objective function and its gradient varargin variable parameter is the input variable, it can be ignored when a simple call bfgs , but other programs will play an important role when the cycle is called output: x, val are approximate optimum and the optimal value, k is the number of iterations.)