retinex_mccann99

炸弹人---Windows下经典小游戏,很怀旧的哦,其人工智能部分很有意思.-bomb people-- Windows Small classic games, is nostalgia Oh, its very interesting part of artificial intelligence.

说明：  使用g6实现流程图,一个简单的流程图开发插件(Use g6 to implement flowchart, a simple flowchart development plug-in)

一个反褶积的VC++例子,简单明了,很适合刚刚开始学习信号分析的人(A deconvolution of VC++ Example simple, it is suitable for signal analysis has just begun to study people)

说明：  采用6个发射机和9个接收机构成的观测系统观测目标，目标包含10个强散射中心，采用传统IFFT成像以及上述的多发多收构型下的单快拍稀疏成像方法，证明了多发多收构型下的稀疏成像方法在收发机个数较少的情况下能实现高分辨成像(An observation system composed of 6 transmitters and 9 receivers is used to observe the target. The target contains 10 strong scattering centers. The traditional IFFT imaging and the single-shot sparse imaging method in the above-mentioned multiple-transmit and multiple-receive configuration proves that there are multiple shots and multiple shots. The sparse imaging method in the compact configuration can achieve high-resolution imaging with a small number of transceivers)

说明：  偏最小二乘法是一种新型的多元统计数据分析方法，于1983年由S.Wold和C.Albano等人首次提出。偏最小二乘法实现了，在一个算法下，可以同时实现回归建模（多元线性回归）、数据结构简化（主成分分析）以及两组变量之间的相关性分析（典型相关分析）。 PCA方法虽解决了自变量共线性的问题，但是并没有考虑自变量主元对于因变量变化的解释作用。所以删除的次要主元有可能包含对回归有益的信息，而保留的主元有可能会夹杂一些对回归模型输出无益的噪声。 PLS方法，通过将自变量和因变量的高维数据空间投影到相应的低维空间，分别得到自变量和因变量的相互正交的特征向量，再建立自变量和因变量的特征向量间的一元线性回归关系。不仅可以克服共线性问题，它在选取特征向量时强调自变量对因变量的解释和预测作用，去除了对回归无益噪声的影响，使模型包含最少的变量数。(Partial least square method is a new multivariate statistical data analysis method, which was first proposed by S. wold and C. Albano in 1983. Partial least square method can realize regression modeling (multiple linear regression), data structure simplification (principal component analysis) and correlation analysis (typical correlation analysis) between two groups of variables.)

该代码用于计算波段的TVI值,该代码来源于作业程序,属于实验程序-The code used to calculate the band TVI values, the code from the operating procedures, an experimental procedure

测试手机专用的，非常好用 ，很好用 ，不错(zip/rar/gzwwegasdgdfsahdfhefdjhdgsdf)

我自己编写的字符串类，可以实现一些简单的功能，如赋值、加法、字符串比较、下边运算符重载等！-myself prepared by the String class, can achieve some simple functions, such as assignment, Ghaffar, string comparison, Now, as Operator!

电子文档，基于互信息的图像配准，配准的文献为局部互信息，还有香农信息论文献-Electronic documents, based on mutual information image registration, registration of documents for the partial mutual information, as well as the Shannon information theory literature

gmm test... gmm test... gmm test