01-MATLAB

MATLAB开发的常用的数值分析代码,用以解决常用的数值分析组合，集成设计(MATLAB Athoritic )

调用noissin.dat的数据，对其做一维DCT及逆DCT，研究对DCT的结果舍去不同点数后的重建情况(Call noissin.dat data, do their one-dimensional DCT and inverse DCT, the results of research on the DCT rounding after the reconstruction of different points)

special case of dedge detection ,,,,

说明：  匹配滤波器实现的matlab代码，包括输出信噪比的计算，输出波形，匹配滤波器的计算(Matlab code matched filter implementation, including the calculation of the output signal to noise ratio, the output waveform, matched filter calculation)

提取音频信号的带宽，matlab源代码，仅供参考 (Extract audio signal bandwidth, matlab source code, for reference only)

图像索材，学习图像处理必须的一些常用图片，愿大家能轻轻松松学习图像！(Image cord material, learn to be a number of image processing used pictures, would like to learn that we can easily image!)

MATLAB6.x符号运算及其应用.pdf 电子书，很不错的哦，学习Matlab的好资料！(Ebook MATLAB6.x Calculation and Use. It is Very good！)

不同的进化计算方法比较，并用matlab仿真实现(Constrained Evolutionary Optimization by Means of(mu+lambda) Differential Evolution and Improved Adaptive Trade-off Model Evolutionary Computation Journal, in press)

《MATLAB7.0图像处理》编程的配套光盘，提供给初学者或者需要的朋友。(MATLAB programming package on the CD-ROM, available to the beginner or need a friend.)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!