level-set

matlab遗传算法源码(Matlab genetic algorithm source code)

利用Matalb为工具，以粒子群算法来优化bp网络程序。 (Use Matalb as a tool to PSO to optimize the bp network program.)

实验7+图形句柄的应用、可视化界面的设计-答案(Handle applications the experimental visual interface design- the answer)

用MATLAB写的小程序，希望感兴趣的朋友可以看下。。(Write small programs using MATLAB, interested friends can look. .)

matlab2012b的安装方法，单机安装及局域网服务器安装-matlab2012b，license( installation method, installation of stand-alone installation and LAN Server)

基于最短路径解决公交车路径规划问题的MATLAB代码实现(Shortest Path to Solve the Problem of Bus Route Planning MATLAB Code)

说明：  这些程序为针对MIMO系统的多变量系统辨识算法程序，其中一些为仿真算例，可以实现。(These programs are multi-variable system identification algorithm programs for MIMO systems, some of which are simulation examples and can be realized.)

程序实现人脸特征的检测和定位，可以识别并标注眉毛，眼睛，鼻子，嘴巴以及耳朵。能用于单人和多人脸图的检测识别，效果不错。(This is a human facial feature detection and location program. It can be applied to detect both single and multiple face images. )

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)

对信号进行内插处理，有16个复信号：1~16Hz；内插I=16 ；内插前采样率50Hz；滤波器265阶 。(Interpolation processing signal 16 multiplexed signals: 1 Hz to 16 Hz interpolated I = 16 before interpolation sampling rate of 50Hz filter 265 order.)