work

给出一些参考有关图像融合的参考文章，两片英文文献，两篇中文文献(Give some information about the article reference image fusion, two pieces of English literature, two Chinese literature)

coding for color feature extraction

利用BP网络实现异或功能，对输入矢量进行分类，源程序(BP networks using XOR function to classify the input vector, source code)

说明：   已知过热蒸汽压力和焓，查询过热蒸汽温度的函数。(Known pressure and enthalpy of superheated steam, superheated steam inquiries a function of temperature.)

一个用matlab语言编写的俄罗斯方块游戏(a prepared using Matlab language of the Russian box game)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

字典学习的各种方法，K-SVD,online等主要的学习算法(Various methods dictionary learning, K-SVD, online learning algorithms and other major)

THIS IS IEEE TEST BUS SYSTEM

multivariate analysis tool

通信原理实验matlab仿真中衰落环境下的最小频移键控(Matlab simulation of communication theory experiment fading environment Minimum Shift Keying)