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matlab基础及其应用教程matlab基础及其应用教程(matlab)

说明：  VS中开发的一个C与matlab混合编程的小程序，该类可以使用到其他的MFC程序中去。 但是注意，使用时，要把matlab所在的本地文件夹中的extern中的lib和include添加到VS的工程属性的lib和include路径中去。且要添加四个lib文件。(VS in the development of a mixed C and matlab programming small programs, the class can use the program to other MFC to. Note, however, when used, should matlab local folder where the extern in the lib and include added to the VS project properties go to lib and include paths. And to add four lib.)

这个文档是基于MATLAB的语音信号LPC技术分析研究,文档详细介绍了关于语间信号的LPC技术分析(This document is based on MATLAB LPC Speech Signal Analysis and Research, the document details the language between the signals on the LPC Technical Analysis)

这个代码是建立二维路面结构模型，并通过使用MATLAB进行数据处理，直观的显示结果。(This code is to establish two-dimensional surface structure model, and through the use of MATLAB for data processing, visual display of results.)

自己做的： （一）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅰ型低通数字滤波器，其采样频率Fs =8KHz，1DB通带边界频率为fp=2KHz。 （二）用双线性变换法设计并用实验系统实现一个三阶的契比雪夫Ⅱ型高通数字滤波器，其采样频率Fs =16KHz，阻带边界频率为fst =4KHz，As=20dB。 ((A) design using the bilinear transformation method and the experimental system of a third-order Chebyshev low-pass type Ⅰ digital filter, the sampling frequency Fs = 8KHz, 1DB passband boundary frequency is fp = 2KHz. (B) Bilinear transformation method used to design and use of the experimental system of a third-order Chebyshev type Ⅱ high-pass digital filter, the sampling frequency Fs = 16KHz, stopband boundary frequency fst = 4KHz, As = 20dB.)

Hilbert transform in matlab

基于瞬时无功功率理论ip-iq法的仿真模型，实际工程中的使用。希望对大家有帮助(The simulation model of instantaneous reactive power theory ip-iq method based on, we want to help)

图像旋转的死循环Efficient procedures for image rotation, Matlab language, easy to read.(rotateEfficient procedures for image rotation, Matlab language, easy to read.)

Codes for Histogram_Equalization Algorithm, without using matlab embedded function.

常用的分类方法，包括最近邻（NN），k均值（kmeans），k近邻，Fisher线性判别。(Commonly used classification methods, including nearest-neighbor (NN), k the mean (kmeans), k neighbors, Fisher linear discriminant.)