kmeans

说明：  马氏距离的仿射不变性删除误匹配特征点 对，据此可求取2幅源图像间的仿射变换参数(Mahalanobis distance of the affine invariant features remove the false matching points Yes, according to the source to obtain two parameter affine transformation between images)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

数据融合的问题，比较详细，完整，看那一系列文档(Data integration issues, more detailed, complete, look at a series of documents)

还是工具箱 希望能够给大家提供帮助 呵呵 也希望站长批准我成为你们的会员 (This is the toolbox. Hope it can be helpful. Hope administrator can approve my willingness to be the member. Thanks.)

这是一个MATLAB算例，在信号处理中的去噪可以用的到。新手合适。(This is a MATLAB example, in signal processing can be used to de-noising. Novice appropriate.)

first-order Engquist-Majda ABC in an FDTD program for 2D-TMz Wave.

此文档介绍了Matlab软件中的一种重要算法--回归分析，并且进行了详尽的介绍和实例举证。(This document describes an important algorithm in Matlab software, and a detailed description and examples of proof.)

张正友相机标定和二灭点法相机标定的ppt讲解，附带二者的matlab程序，可运行(Zhang Zhengyou camera calibration and two-vanishingpoint method of camera calibration ppt to explain, with both matlab procedures, operations)

EEMD在EMD的基础上进行添加高斯白噪声，VMD相对于EEMD时频分解效果更好，有效的抑制了模态混叠和端点效应(EEMD adds Gaussian white noise on the basis of EMD, and VMD has better effect on time-frequency decomposition than EEMD, effectively suppressing modal aliasing and endpoint effects)

对具有随机噪声的二阶系统的模型辨识(用改进的神经网络MBP算法辨识)(of random noise with the second-order system model (used to improve the neural network algorithm for identification MBP))