monituihuo

说明：  Matlab code for knapsack

MATLAB作为一款无比强大的科学计算工具，在可以自由编程的同时，MATLAB也为我们封装好了一些功能，以工具箱的形式供我们使用，下面我就详细介绍一下MATLAB工具箱的使用方法。(MATLAB as a powerful tool in scientific computing, free programming at the same time, MATLAB also provide us a good package some functions to toolbox forms for our use, below I will detail the use of methods about MATLAB toolbox.)

用matlab控制摄像头 对所采集的视频提取图片，再进行后续处理(Control using matlab camera captured video extract pictures, and then the subsequent processing)

说明：  Matlab环境下，实现用PCA方法提取EigenFace,之后通过SVM方法对人脸图像进行分类识别。(Face recognition via PCA and SVM method)

matlab工具箱，可以实现很多功能。解决许多问题！(The matlab toolbox, can realize many functions. Solve many problems!)

一个用于自然数编码遗传算法的工具包LryQwsJ，以及用这个工具包实现的车辆路径优化问题的dtUYbrF算法例程 (A natural number of encoding genetic algorithm tool kit LryQwsJ, as well as using this tool kit to achieve the vehicle routing optimization problem dtUYbrF algorithm routines)

使用matlab编写的PSO算法，求解函数最优值(using matlab to realize particle swarm optimization algorithm for optimization)

说明：  xiaochengxusmall case,may be useful for all of you (small case,may be useful for all of you )

实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为： 式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即 虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)

这个文件是关于matlab曲线拟合的资料，对学习matlab曲线拟合非常有用(This document is about matlab curve fitting information, to learn matlab curve fitting is useful)