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由多光谱图像的3个波段构成的RGB分量经IHS变换后，可将图像的空间特征(，)和光谱特征(H、S)分离(From multi-spectral image consisting of three-band RGB components by the IHS transform, may be characteristic of the image space (,) and spectral characteristics of (H, S) Separation)

说明：  用于对图像进行显著性分析，使用GBVS算法，可阅读readme文件进行安装。安装好后直接调用即可。(For image significance analysis, GBVS algorithm, readme file for installation.Directly after the installation can be called.)

说明：  基于matlab的语音信号处理快速傅里叶变换程序(Fast Fourier Transform Program for Speech Signal Processing Based on MATLAB)

这款小DEMO是关于自己学习LOD地形分层算法的例子，其中简单显示了实现算法的过程(The DEMO is a small study on their own examples of LOD terrain hierarchical algorithm, which simply shows the process of algorithm)

MPEG解码源代码。转载中国程序员网络，提供该代码。(MPEG decode)

利用MATLAB计算矩形波导TE10模式磁场电场分布并画出图像(Using matlab to calculate the rectangle mode TE10 and draw a picture of E and H)

金属的Blob侦测，使用程序过滤图像上金属上的胡椒盐杂讯。(Blob metal detection, the use of salt and pepper noise filtering process on the image on the metal.)

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.)

MATLAB源码，使用多种算法进行图像质量评价(MATLAB source code, using a variety of algorithms for image quality evaluation)

现有大屏拼接技术性能参数对比，这是我上个月的调研内容，数据可信，对于要了解大屏拼接技术的人一定有帮助(Existing large-screen display technical performance parameters comparison, this is my last month s survey content, data credibility, for large-screen technology to understand who must have help)