image-registration-

基于学习的超分辨率重构matlab代码，对于超分辨率重构的研究很有帮助(This is learning-based Super-Resolution Reconstruction matlab code. It is of very helpful for the super-resolution reconstruction )

说明：  插值程序，很有用的。大家来看看啊。哈哈，多多支持啊。(Interpolation procedure, very useful. We Laikankana. Haha, the generous support ah.)

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.

K均值聚类的例子程序，程序中有附带的数据(examples of k-means technology)

说明：  一种基于全变差的红外弱小目标背景抑制方法，效果不错(An infrared small target based background suppression total variation method, good results)

QAM调制代码，在命令行中输入调制参数，输出星座图等(the QAM modulation matlab code，which can export the constellation )

听觉模型的仿真软件，很好用的ear模型，HUTear模型(Auditory model simulation software, the good ear model, HUTear model)

用蒙特卡洛法对建立起的DF数学模型实现复合材料特性边界的估计(Monte Carlo method to establish mathematical models of DF characteristics of composite materials to achieve the estimated boundary)

matlab中的阶比仿真程序，应用于数值分析，和大家一起学习。(matlab in the order than the simulation program, used in numerical analysis, and we learn together.)

Time series statistical analysis, used to obtain various statistics,include Variance Median The maximum value The minimum value Standard deviation Skewness Kurtosis Jarque-Bera test Concomitant probability of Jarque-Bera test