QPSK

matlab 函数库 模糊控制类库 电子书(matlab fuzzy control library library)

MATLAB图形处理教程 里面讲述了MATLAB当中的各种利用，以及源程序(Tutorial MATLAB graphics inside of them about the use of MATLAB, as well as the source)

simulation of an arm on matlab

说明：  这里有两个matlab的应用实例，一个是函数的积分，一个是幅频图像的绘制，希望对去学matlab的人能有所帮助(there are two examples for matlab,one is designed for function integral and another is desined to draw amplitude frequency)

Toolbox to read netcdf files on Matlab Install: javaaddpath([pwd /netcdfAll-4.2.jar ]) unzip( mexcdf.r4000.zip ) addpath ([pwd /mexcdf/mexnc ]) addpath ([pwd /mexcdf/snctools ])

this code for voice detection

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )

基于matlab车辆文字识别处理方法(Matlab vehicles based on text recognition processing method)

This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.(This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm. )

IIR数字滤波器的设计 上学的时候一直不知道如何用C语言来编写IIR滤波器，终于找到了，上传给大家 希望能帮到大家。(IIR digital filter design when the school did not know how to use C language to write IIR filters, and finally found it, upload to hope to help you.)