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联合对角化方法,用于对多个矩阵同时进行联合对角化,主要用处是盲源分离,(Joint diagonalization method, is used to conduct joint diagonalization matrix at the same time for multiple, main use is to blind source separation,)

根据三角形细分法原理，设计的分形山绘制程序，添加了图像美化的功能(According to the principles of the triangle subdivision, mountain fractal design drawing program, add a picture landscaping features)

关联维数 关联维数的计算结果利用gp算法(correlation dimension correlation dimension calculation algorithm using gp)

光学图像的几何仿真，采用已有的光学图像作为参考，布置在传感器照射范围区域，然后根据卫星轨道、姿态等获得新的图像，该图像能够反映原始图像的几何特性(Optical image geometry simulation, using the existing optical image as a reference, arranged in the area illuminated area of ​ ​ the sensor, then the satellite orbit, attitude and so obtain a new image, the image can reflect the geometric properties of the original image)

采用结构函数法计算材料界面曲线的分形维数，对应的数据应当为结合界面曲线的.jpg格式，各相关参数的介绍在程序内均有注明。(The fractal dimension of the interface curve of the material interface is calculated by the structural function method. The corresponding data should be in the .jpg format of the interface curve. The relevant parameters are described in the procedure.)

关于图像的分形参数计算matlab程序与大家一起分享(On the fractal image parameter calculation matlab program to share with everyone)

产生一维多重分形，以p-model为原理，所得多重分形时间序列具有已知的多重分形谱和奇异性强度。(product fractals)

Diffusion-limited  Aggregation（DLA）扩散限制凝聚，是由Witten和Sander于1981年共同提出来的。其基本思想是：首先置一初始粒子作为种子，在远离种子的任意位置随机产生一个粒子使其做无规行走，直至与种子接触，成为集团的一部分。然后再随机产生一个粒子，重复上述过程，这样就可以得到足够大的DLA团簇。(Diffusion-limited Aggregation (DLA) Diffusion Limitation Cohesion was presented by Witten and Sander in 1981. The basic idea is to first set an initial particle as a seed, at any position away the seeds randomly generated a particle to make it random walk until the contact with the seeds, as part of the group. And then randomly generate a particle, repeat the process, so you can get enough large DLA clusters.)

说明：  程序可以在matlab环境下，用矩形面元为绘制三维立体分形曲面(procedures in Matlab environment, with rectangular surface yuan for three-dimensional mapping of fractal surfaces)

基于特征的影像匹配——SIFT Method!!! 相当经典,只不过是MatLab源码(Based on the characteristics of image matching, SIFT Method!!!!!!)