粒子群，遗传算法

On-Line Digit Recognition using Off-Line Features

说明：  Matlab网格划分程序可以将结构的四边形网格转换为三角形网格。 但该文件中内容重复了mesh2tri函数写了两遍，可以删除重复部分。 Demo: clear all close all clc (Matlab grid program 1. Create mesh grid 2. Plot the original rectangular mesh 3.1 forward slash division of quadrilateral)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。(SVM and BP neural networks, although non-linear regression can be used to do, but they are based on different theoretical basis, the return mechanism is not the same. SVM based on structural risk minimization theory, generally considered the generalization ability of neural networks than strong. To test this view, a support vector machine of this writing the general non-linear regression procedures and based on Matlab neural network toolbox of the BP neural network simulation module, the simulation results confirm that support vector machines do not only the generalization ability of non-linear regression in BP network, and neural networks to avoid the inherent shortcomings- the training results unstable.)

this code computes 2 signal convalve value signals are manual inputs

在光纤环形腔中经过级联四波混频产生光频率梳，梳齿频率间隔可调，光纤环形腔中不同模块色散，非线性系数可调。(Optical frequency comb are generated in the fiber cavity by the process of cascaded four wave mixing.)

HIT or MISS transform used to check if the given structuring element is present in the given image or not? If present then its HIT or else MISS.

assigning complex numbers

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)

进行D2D小区模型建立，并进行D2D链路，蜂窝链路的选择(D2D cell model establishment, and D2D links, cellular link selection)

使用拉亚普诺夫指数的公式，包含了阵列信号处理的常见算法，IMC-PID是利用内模控制原理来对PID参数进行计算，最终的权值矩阵就是滤波器的系数，一种噪声辅助数据分析方法,数据模型归一化，模态振动。