Flexible-AC-Transmission-System-Controllers-An-Ev

利用求语音信号倒谱的方法，对语音信号进行基音检测，并绘制出波形图。(Use for speech signal spectrum method of fall, the speech signal pitch detection, and rendering the waveform figure.)

对数据进行分组：通过该程序在matlab将一组数据随机的分为两组，用于建模计算(devide into two groups)

matlab的petri网工具包，可以在matlab7.0上运行(the petri net matlab toolkit, you can run matlab7.0)

说明：  这是一个wiener滤波程序，对语音信号滤波。里面有详细的word文档说明(This is a wiener filtering process to filter the speech signal. There are detailed notes word document)

此文件很棒的，通过修改动力仿真软件advisor模型数据来来实现对传动系统参数的优化，可以配合相应的算法程序，如退火法，粒子群，遗传等(matlab assist parameter optimization)

说明：  关于matlab和RS方面的文献，对于做遥感应用很有益，比较好。(Matlab and RS on the literature, for remote sensing applications is very useful to do, better.)

基于最小生成树算法的无线传感器网络数据分发协议的matlab仿真代码，对于传感器网络的研究有用(Based on the minimum spanning tree algorithm for wireless sensor networks matlab simulation data distribution protocol code, useful for the study of sensor networks)

ransic用于减少错配点，方便可行，经本人验证，程序可行，欢迎下载(ransic used to reduce the mismatch points, convenient and practical, as I verified, the program feasible, welcome to download)

上传了关于解模糊的基本程序，如中国余数定理，余差法等等(From vague on the solutions of the basic procedures, such as the Chinese remainder theorem, and so on more than bad law)

　计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。(Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.)