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这是MATLAB 主要函数指令表（按功能分类）.(This is the main function of MATLAB command table (according to the functions of classification).)

matlab工具做NURBS曲面造型，大家可以参考一下(matlab tools to do the NURBS surface modeling, we can refer to)

simulation of double stage rectifire using matlab simulink power electronic field

说明：  简单滤波器设计,在通信建模过程中是最基础的(the design of the simple filter)

matlab GUI教程 方便大家学习 很好的一本书(matlab GUI to facilitate them to learn a good tutorial book)

只是一个关于用共轭梯度下降算法处理数据的程序，本程序处理的数据对象为MINST,该程序在线性搜索上有很好的效果(Only one on the use of conjugate gradient descent algorithm data processing procedures, the procedures for processing the data object is MINST, linear search for the program have a good effect on)

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

Program simulating the project of a CSTR reactor in series with a stripping column.

提供HSMM隐半马尔科夫的前向后向算法。可用于模式识别(Hidden semi-Markov providing HSMM back to the first algorithm. Can be used for pattern recognition )

LBP（局部二值模式）的matlab程序，有主文件lbp.m，对低版本的还有调用getmapping.m的文件，还有就是测试文件，是自己写的用循环语句批量处理图片用的(LBP (Local Binary Pattern) matlab program, there is the master file lbp.m, there are calls for a low getmapping.m version of the file, there is a test file, write your own pictures with batch processing loop used)