fuMainSetup

一种新的像素级多聚焦图像融合算法，主要用于遥感图像的融合(A new pixel-level multi-focus image fusion algorithm, mainly used for remote sensing image fusion)

MATLAB程序设计教程，ppt格式，同时包含有大量程序设计案例源代码(MATLAB programming tutorials, ppt format, also contains a large number of cases the source code programming)

图像之后可以用来计算二维图像的形心坐标与二维图像目标物的面积。有实例图片。(After the image is two-dimensional image can be used to calculate the coordinates of the centroid of the area of ​ ​ the two-dimensional image of the target object. There are examples of pictures.)

A Multiset implementation with predictable iteration order.

说明：  nsga2算法，测试指标IGD和GD，测试函数ZDT1-ZDT4,DTLZ1-DTLZ4(NSGA2 algorithm, index metrics IGD and GD, test functions ZDT1-ZDT4, DTLZ1-DTLZ4)

DFA算法的MATLAB程序，有例图。分形维度算法(DFA algorithm MATLAB program, a case diagram. Fractal dimension algorithm)

This toolbox has functions to perform nonlinear diffusion images. This kind of image filtering is particularly useful for reducing noise and to simplify images for further segmentation. Much of these functions are based on Perona and Malick s work, and also on J. Weickert s papers. The fast AOS diffusion is implemented. There is also 3D diffusion functions, color image diffusion and Coherence-Enhancing diffusion (This toolbox has functions to perform nonl inear diffusion images. This kind of image fi ltering is particularly useful for reducing no ise and to simplify images for further segmenta tion. Much of these functions are based on Peron a and Malick's work, and also on J. Weickert's papers. The hypothetical fast AOS fusion is implemented. There is also 3D diffusi on functions, color image diffusion and Coherence- enhancin g diffusion)

加入3点或5点中值平滑处理后再绘制上述基频曲线与未平滑曲线比较，观测完整一段话音的基频包络变化情况(Add to 3:00 or 5:00 in the value of the smoothing then draw the base frequency curve is not a smooth curve compared with the observed period of complete voice baseband envelope changes)

能够在一定TDOA估计误差下给出定位精度误差 /3d(this program can esitimate the location accuracy in 3D enviorenment when defing the tdoa error)

matlab的MKD-SRC。多特征点的稀疏表示识别.(matlab the MKD-SRC.)