指纹识别程序A

组稀疏表示，可用于信号的稀疏表示，内有多个demo(GroupSparseBox_V2, it can be usef in singal sparse model)

这是一个基于地震电磁时频图像的特征区域分割算法的程序(it is very good)

一维数据的Kalman滤波处理，线性卡尔曼滤波的Simulink仿真(Kalman filter processing for one-dimensional data, Simulink simulation for linear Kalman filtering)

IPN 相关性一致性计算：一致相关性系数，皮尔逊系数等 ( IPN_ccc - Computes the concordance correlation coefficient for evaluating reproducibility. IPN_icc - Computes the interclass correlations for indexing the reliability analysis IPN_kendallW- Computes the Kendall s W. IPN_pearsonR- Computes the Pearson s R.)

点云特征提取 详细 实用 经典的讲述过程及方法(Point Cloud Feature Extraction practical details about the processes and methods of classic)

说明：  <<数值模拟方法和运动界面追踪>> -刘儒勋 运动界面追踪的经典之作! ( numerical simulation and free surface tracking - Ru-xun liu a classic book!)

主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)

水平百叶窗显示图片，讲一张图像垂直分成若干份，bitblt一行一行的显示(The level of blinds show pictures, talk about an image vertically divided into several copies, bitblt display line by line)

直方图均衡化，局部直方图均衡化，直方图匹配，中值滤波，(histgram equalization,histogram matching)

这是一种实现数字图像拼接的surf算法的matlab程序，能够取得不错的效果。(This is a digital image mosaic surf algorithm matlab program, can achieve good results.)