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粒子群算法，用matlab实现，内含几个测试参数。(Particle swarm optimization with matlab realize that contains several test parameters.)

MATLAB平台实现FIR的滤波器设计 利用双线性变换法设计IIR数字Butterworth低通滤波器(MATLAB platform design FIR filter design using bilinear transform IIR digital Butterworth low-pass filter)

粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可(Particle Swarm Optimization (PSO) used neural network optimization program. Divided into no hidden layer, a hidden layer, two hidden layers. You can run DemoTrainPSO.m)

Computational Building Physics and Systems 4

将蚁群优化算法与粒子群优化算法进行组合，并利用遗传算法的交叉操作与变异操作对粒子多样性进行改进，提高全局优化效率，并配有实例演示。(The ant colony optimization algorithm and the particle swarm optimization algorithm are combined, and the genetic algorithm is used to improve the diversity of the particles. )

笔者自行编写的Matlab环境下的人脸识别算法小实验， 采用的是经典的PCA算法，主要内容是采用SVD方法提取出象素空间上的 PCA主分量特征，分类算法上仅是基于最小距离分类 (The author of the Matlab environment to prepare the face recognition algorithm under small experiment using classical PCA algorithm, the main contents of SVD method is used to extract pixel space on the PCA principal component features, the only classification algorithm is based on the minimum distance classifier)

用最速下降法求解多维函数的极值 function [x,minf]=minFD(f,x0,var,eps) 目标函数：f 初始点：x0 自变量向量：var 精度：eps 目标函数取最小值时的自变量值：x 目标函数的最小值：minf( With the steepest descent method for solving the multi-dimensional function of the extreme value function [x, minf] = minFD (f, x0, var, eps) target function: f Initial Point: x0 argument vector: var Accuracy: eps target function takes the minimum value of the independent variable values: x minimum target function: minf)

SMI算法的matlab代码，并且比较不同快拍数下及不同信号入射功率对波束图的影响(SMI algorithm matlab code, and compare the number of snapshots and different under the incident signal beam map of the impact of power)

Convolution without using conv function

一小例子，关于tableview的，如下 (A small example, on the tableview, as follows)