mateda2.0

具有完全识别车牌的matlab源代码，执行效率高！(With full recognition of vehicle license plate matlab source code, high efficiency.)

本程序为使用剩余矩形排样法排样的矩形件排样程序，应用matlab软件编程制作。程序能够根据用户输入的排样方案对给定的25块矩形件在宽为15的板材中进行排样，并绘制矩形件排样图。(This procedure is used to drain the remaining rectangular nesting nesting kind of rectangular pieces of the program, application software programming matlab produced. Program can be ranked based on user input for a given sample solution 25 in the width of a rectangular piece of sheet 15 in the nesting, and draw a rectangular piece nesting map.)

说明：  经典视觉显著性算法AC的Matlab代码以及可执行文件。(The Matlab code and executable files of the classic visual saliency algorithm AC.)

采用MMSE准则设计最佳均衡器的源程序，提供给大家作为参考。用此程序可以基于此设计最佳的均衡器。(Guidelines for the use of MMSE equalizer design the best source available to everyone as a reference. Using this procedure can be based on this design the best equalizer.)

关于ICA的经典书籍，理论与应用兼顾，研究盲信号分离的必备参考。(ICA on the classic books, balance between theory and application, research Blind Signal Separation of essential reference.)

改进的非局部均值去噪，采用均值和方差选择相似的图像块。(Improved non-local means denoising, using the mean and variance of the to similar images.)

matlab标准遗传算法 优化函数为f=-(x-1)^2+4，其中，0<=x<=3(matlab)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

支持向量机分类源程序，需要的同志们可以下载试一下(Support vector machine classifier source code, you can download the comrades need to try)

这是CS-mRI代码,主要应用于医学磁共振图片的压缩感知处理代码(This is the CS-mRI code, mainly used in medical magnetic resonance image compression perceptual processing code)