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This package is a free collection of Matlab routines for computing wave atom transforms in one, two and three dimensions.

⑴.设计游乐平面图，所含景点不少于10个。以图中顶点表示游乐园各景点，存放景点名称、代号、等信息；以边表示路径，存放路径长度等相关信息。 ⑵．为游人提供图中任意景点的问路查询，及查询任意两个景点之间的一条最短的简单路径。 (⑴. Designed to play plan, contained less than 10 scenic spots. To graph vertices, said the amusement park attractions, attractions store names, codes, and other information to edges, said path, the path length of storage of information. ⑵. To provide the figure for the visitors ask for directions any spots, queries, and query any two attractions of a shortest simple path.)

双边滤波和联合双边滤波源代码，是一种可以保边去噪的滤波器，可以用于图像处理的很多方面。(Bilateral Filtering and joint bilateral filtering source code, is an edge-preserving denoising filter can be used in many aspects of image processing.)

估算并画出高斯脉冲的前15阶导函数的-10dB带宽。函数以下列变量为输入：a的最小值alphamin，(estimates and the mapping out of the Gaussian pulse before 15 derivative function-10dB bandwidth. Function for the importation of the following variables : a minimum of alphamin.)

重要的模拟程序，模拟精度很高，值得大家好好参考，好好学习一下(Important simulation, the simulation accuracy is high, is worth a good reference to learn about)

fast ica 算法 matlab源代码，比较好，简单易懂(fast ica)

该方法通过原始象素亮度与周边象素亮度之间的关系获取增强系数，对已做全局亮度调整的图像进行图像增强(lum_en_local=wjli_lum_en_local_bilateral(lum_en_global,lum_ori,window_r,sigmad,sigmar))

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

matlab学习的最好资料，可以看看，参考参考，学习进步。(matlab learn the best information, you can see, reference information, study progress.)

通信工程与计算机方面的脉冲压缩的一些源代码通信工程与计算机方面的脉冲压缩的一些源代码(Communication engineering and computer aspects of pulse compression of some of the source code )