jingyanmotaifenjiehexiaoboyuzhiquzao

a function that convert the rgb to iii format and vice versa it also take the singularity problem to account

根据切比雪夫近似得到的计算简正波的程序，能够较精确获得本地简正波(A Matlab code for computing normal modes based on Chebyshev approximations )

活塞式压缩机排气管道压力脉动计算matlab程序(Matlab program to calculate the pressure pulsation of piston compressor outlet pipe)

说明：  英格尔著作《Digital Signal Processing Using MATLAB》一书中所有源代码打包(Ingle book &quot Digital Signal Processing Using MATLAB&quot , a book all the source code package)

矩阵重建的算法与实现 Exact_Matrix_Completion_via_Convex_Optimization 矩阵重建简介(Matrix Completion)

说明：  《神经－模糊和软计算》（Neuro-Fuzzy and Soft Computing）一书的例子程序。 作者： Jyh-Shing Roger Jang是个日本人，翻译成中文好像是水谷英二。("neuro-fuzzy and soft computing" (neuro-fuzzy and Soft Computing), an example of the procedure. Author : Jyh-Shing Roger Jang is the Japanese translation into Chinese water is like two British Valley.)

基于反步法的欠驱动AUV水平面直线航迹跟踪控制(Straight-line trajectory tracking control of underactuated AUV in the horizontal plane based on backstepping)

基于MATLAB的三维应用 ，这种方法适合现状水库地形测量资料，操作简单，程序实现容易，所得三维数字地形图可以满足工程上对水库冲淤分析计算的精度要求(MATLAB )

通过matlab语言编程，实现利用Gauss消去法求解线性方程组(Through matlab language programming, using the Gauss elimination method for solving linear equations)

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.)