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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!

时间序列中自相关函数的计算代码，内附程序说明(Time series in the calculation of the autocorrelation function of the code, containing a description of the procedures)

说明：  如果你还在为数据计算烦恼，为信号仿真处理烦恼，试试这个文档，很好很优秀的matlab将为你解决一切(If you' re still trouble for the data calculated for the signal simulation dealing with troubles, try this document, very good very good matlab will give you solve all the)

说明：  Matlab数学实验，约束优化的算法Matlab的实现(Matlab mathematical experiment, constrained optimization algorithm to achieve Matlab)

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matlab入门到精通，对初学者和高手都非常有用。(Entry to the proficient in matlab, is very useful for beginners and master.)

code matlab for ieee 802.16

这是利用二维小波分析对含高频噪声的图像进行消噪的例程，这里采用的是小波分解系数阈值量化法，(This is the routine use of two-dimensional wavelet analysis denoising images with high-frequency noise, the wavelet coefficients threshold quantization method used here,)

用于图像处理等等，在MATLAB中实现移动目标的检测与辨识。(Used in image processing and so on, is realized in MATLAB moving target detection and recognition.)

Matlab遗传算法工具箱 by Christopher R. Houck North Carolina State University(A Genetic Algorithm for Function Optimization: A Matlab Implementation Christopher R. Houck North Carolina State University)