chap1_1

说明：  是用matlab实现的三维立方体的聚集，得到三个两维的立方体和三个一维立方体，和一个顶点立方体(Matlab implement the aggregation of three-dimensional cube, there are three two-dimensional cube and three dimensional cube, and a vertex cube )

matlab mimo code for noma easy and el;aborated

压缩感知优化算法代码，一个有意思尝试，希望对大家有用(Compression-aware code optimization algorithm, an interesting attempt to)

文件里包括了扩频系统中所需的gold码序列的产生。(File system, including the spread spectrum code sequence required to produce gold.)

在matlab环境，实现language算法，根据所给的点确定原函数(language method)

关于粒子群算法的相关论文，共有文章17篇，可供有兴趣的朋友研究讨论(Particle Swarm Optimization on the relevant papers, a total of article 17, interested friends for study and discussion)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

search,sorting algorithm insertion,binary,merge sort application include c++ language

说明：  MATLAB编程(第二版)是老师强烈推荐的，这个电子版是找了好久才找到的，很清晰，有目录。(MATLAB Programming (Second Edition) is the teacher strongly recommended that this electronic version is looking for a long time to find, very clear, there are directories.)

HOPFIELDNETWORK M-file for HopfieldNetwork.fig . HOPFIELDNETWORK, by itself, creates a new HOPFIELDNETWORK or raises the existing singleton*. H = HOPFIELDNETWORK returns the handle to a new HOPFIELDNETWORK or the handle to the existing singleton*. HOPFIELDNETWORK( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in HOPFIELDNETWORK.M with the given input arguments. HOPFIELDNETWORK( Property , Value ,...) creates a new HOPFIELDNETWORK or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before hopfieldNetwork_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to hopfieldNetwork_OpeningFcn via varargin.