icalunwen

这个文件是语音处理里面的端点检测源程序，可以直接编译运行，效果还比较好(This document is a voice processing of endpoint detection inside source, you can direct the compiler to run, the effect is still relatively good)

matlab的外用工具扩展包，里面包含HOG，ANN等多种实现(Matlab external tools expansion pack, containing HOG, ANN and so on the many kinds of implementation)

说明：  根据人脸与背景相比的高亮度，在垂直方向上截取人脸，用matlab来实现(Compared with the background under the face of high brightness, the vertical intercept in the face, using matlab to achieve)

matlab图像函数大全，并附带有详细说明(matlab images function Daquan, accompanied with a detailed description)

感应电机直接转矩和矢量控制很好的仿真模型，值得学习和借鉴(Induction motor direct torque vector control and the simulation model well worthy of study and learning)

matlab编写的文本分类的程序，可以对已经分好词的文本进行分类，先自己导入数据，用libsvm中的svm进行分类和预测，特征用tfidf算法，还利用卡方检验进行了特征选择，可自行设定阈值。(matlab prepared text classification program, you can have a good word of text classification, classification and prediction using libsvm in svm, characterized by tfidf algorithm, also used the chi-square test was used for feature selection, you can set thresholds on their own.)

说明：  本书作者从实践出发，结合大量数据挖掘工程案例及教学经验，以真实案例为主线，深入浅出地介绍数据挖掘建模中的有关任务：数据挖掘、数据预处理、分类与预测、聚类分析、时序预测、关联规则挖掘、智能推荐、偏差预测等。(The author of this book starts from practice, combines a large number of data mining engineering cases and teaching experience, and uses real cases as the main line to explain the relevant tasks in data mining modeling in simple terms: data mining, data preprocessing, classification and prediction, cluster analysis, Preliminary prediction, association rule mining, intelligent recommendation, bias prediction, etc.)

说明：  线性代数实验及MATLAB入门,电子工业出版社出版 陈怀琛 龚杰民合著(linear algebra tests and MATLAB entry, the electronics industry publishing house Huai-China co-authored al.)

该代码主要实现了OVTDM(时域重叠复用系统)的仿真，包含脉冲成型、匹配滤波，白化滤波，改进的viterbi译码等。(This code is mainly to simulate the OVTDM system.)

列举MATLAB常用绘图命令及代码，通过PPT课件详细讲述了各个绘图命令。(Lists commonly used MATLAB graphics commands and code, PPT courseware through a detailed account of the various graphics commands.)