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程序代码说明 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(Code Description P0301: digital image data display matrix and Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: gray-scale transformation method using the contrast enhanced image P0304: Histogram of homogenization P0305: simulated images by Gaussian white noise and salt and pepper noise of P0306: two-dimensional median filter function medfilt2 on the image noise by filtering salt and pepper P0307: using MATLAB in the function filter2 noise on the image by mean filter P0308: Image Adaptive Weiner Filter P0309: the use of 5 different gradient enhanced image sharpening method P0310: the image of the high-pass filter and mask treatment P0311: Using Butterworth (Butterworth) low pass filter the image noise by smoothing P0312: Using Butterworth (Butterworth) high pass filter sharpening the image)

matlab 2007R基础教程 清华大学版 书上一部分题目的源程序源程序(matlab 2007R Essentials version of Tsinghua University as part of the book title of the source source)

开发系统的程序，欢迎大家使用，希望顶我，方便大家使用雷达线性调频信号产生(system development process, we are happy to use, I hope the top to facilitate the use of radar signals generated LFM)

离散信号的快速傅里叶变换，微波干涉仪数据采集处理(Fast Fourier transform of discrete signal)

digitize grapical graphs

matlab code for seemingly unrelated regression

This is my Simulink file that simulâ tes a synchronous generator model

基于粗糙集的特征选择Matlab源程序。(Feature selection based on rough set.)

正交最小二乘辨识算法 该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数(OLS Orthogonal Least Quares. [x, ind] = OLS(A,b,r) gives the solution to the least squares problem using only the best r regressors chosen from the ones present in matrix A. This function also returns in the vector ind the indexes of the best r regressors (i.e., the best columns of A to use). If r is equal to n, the solution x given by OLS is the same as the solution given by A, but in ind we still have the regressors sorted by their importance. This means that one can perform a feature selection by taking the first k entries in ind (k<r).)

LMS算法的Matlab实现。。。。。。。。。(LMS algorithm Matlab implementation. . . . . . . . .)