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1.将BMP图像内容读入内存数组。 2. 调整图像的灰度，对图像进行灰度变换（反变换）。 3. 对图像进行较正,分别取值为0.4,0.6,0.8.(1. The BMP image content is read into memory array. 2 Adjust the gray image, the image gray-scale transformation (inverse transform). 3 more positive image, respectively, the value of 0.4,0.6,0.8.)

说明：  用于解决多机器人编队的避障的MPC-fleet算法(MPC-fleet algorithm for solving obstacle avoidance of multi-robot formation)

BPSK传输系统的仿真模型。对于simulink的初学者有帮助。(a simulation system based on simulink model bpsk.)

图像处理，图像小波变换，svd变换, svd trasnform(Image processing, image wavelet transform, svd transform)

Demo:演示程序（注意图像路径） ShearletCoef: 系数计算程序 mybeta: 伪极坐标 Fourier 变换（文件名是暂时的用法） phi0,psi0,psid: 低高频图像点阵显示（myu,myv用于理论分析，不被 Demo 调用） psiStock: FPsi1(2)_x（有编号）: shearlet 函数类 bump: 钟形光滑函数 ramp: 斜升光滑函数（即旧版中的 smooth） 新版比旧版提高了框架函数的连续性——对角方向上的生成函数进行了连续化。算法设计上， 伪极坐标 Fourier 变换被独立出来。(Demo: demo program (note the image path) ShearletCoef: coefficient calculation procedure mybeta: pseudo-Polar Fourier transform (the file name is temporary usage) phi0, psi0, psid: low frequency image dot matrix display (myu, myv for theoretical analysis not to be invoked Demo) psiStock: FPsi1 (2) _x (numbered): shearlet function classes bump: bell smooth function ramp: ramp smooth functions (ie legacy of smooth) than the old version of the framework to improve the continuity of functions- diagonal direction of the generating function were continuous. Algorithm design, pseudo-Polar Fourier transform is independent.)

核聚类算法FCM算法及性能分析,有图片,FCM模糊C均值图象,有窗体(Kernel clustering algorithm FCM algorithm and performance analysis, pictures, FCM fuzzy C means the image has the form)

funny factorial and description

常用的几个CSF函数（基于人类视觉特性的频域滤波函数），其说明在PDF文档之中(Top CSF function (the frequency domain filter function based on human visual characteristics ), which are described in the PDF document)

FOCUSS算法，稀疏重构的一种算法，可用于信源定位的方法研究(FOCUSS algorithm. )

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现pca svm压缩图像，matlab语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, the data and graphics written independently by oneself are very worthwhile to learn, and realizing PCA SVM compressed image, MATLAB language)