MatlabNotes

说明：  一些ofdm同步算法的经典文献，初学者必看，不可错过(Some ofdm synchronization algorithm of the classic literature, beginners must see, not to be missed)

运用matlab实现贝叶斯决策面的算法，帮助你快速学习贝叶斯算法(Bayesian decision algorithm using matlab face, to help you quickly learn Bayesian algorithm)

粒子滤波，用来实现目标跟踪,多目标跟踪，及目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,(Particle filter, used to achieve target tracking, multiple target tracking and target tracking and positioning, the ability to solve nonlinear problems Bikaerman filtering, EKF, UKF much better,)

说明：  hopfield神经网络实现：（1）两个三维的稳定点，（2）从大小为12*10的黑白图像识别数字(hopfield neural networks: (1) the stability of two dimensional points, (2) from the size of 12* 10 black and white digital image recognition)

分别用Ansys和Matlab建立的混凝土骨料随机投放模型，建立二维，三维数值混凝土模型，对分析混凝土的破坏机理具有重要参考价值。(Concrete aggregates were used Ansys and Matlab established random delivery model, a two-dimensional, three-dimensional numerical model of concrete, concrete analysis of the failure mechanism has important reference value.)

运用交替投影算法进行波束优化，可控制主瓣宽度及副瓣电平(The alternating projection algorithm is used to optimize the beam, which can control the width of the main lobe and the sidelobe level)

根据DFT的基二分解方法，可以发现在第L（L表示从左到右的运算级数，L＝1，2，3…M）级中，每个蝶形的两个输入数据相距B=2^(L-1)个点，同一旋转因子对应着间隔为2^L点的2^(M-L)个蝶形。从输入端开始，逐级进行，共进行M级运算。在进行L级运算时，依次求出个2^(L-1)不同的旋转因子，每求出一个旋转因子，就计算完它对应的所有的2^(M-L)个蝶形。因此我们可以用三重循环程序实现FFT变换。同一级中，每个蝶形的两个输入数据只对本蝶形有用，而且每个蝶形的输入、输出数据节点又同在一条水平线上，所以输出数据可以立即存入原输入数据所占用的存储单元。这种方法可称为原址计算，可节省大量的存储单元。附件包含算法流程图和源程序。(err)

该源码能够实现自动将同一文件夹下的仿真平台的dat数据结果转化为matlab能够读取的矩阵数据格式(The source code can be achieved automatically the dat data results of the simulation platform under the same folder into matlab matrix data format that can be read)

说明：  自相关函数及互相关函数编程(Autocorrelation function and its programming)

说明：  首先介绍一下早期的简单模型，即Boid（Bird-oid）模型。这个模型是为了模拟鸟群的行为而设计的，它也是粒子群优化算法的直接来源。(Because the simulation is too simple and far away from the real situation, a random variable is added to the velocity term, that is, in each iteration step, in addition to meeting the "nearest neighbor velocity matching", a random variable is added to each step of the speed, so that the whole simulation looks more realistic.)