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猜数字游戏：首先让电脑产生一个1~100的随机数x,然后由用户猜测该数字。如猜测的数字B大于x，则显示“High”，小于则显示“Low”，等于则显示“You Won”，同时退出游戏。用户最多可以猜10次。 ()

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

核局部邻域嵌入算法是一类流形学习算法，可用于数据的降维(Kernel local neighborhood embedding algorithm is a manifold learning algorithm, which can be used to reduce the dimensionality of data)

压缩感知投影矩阵优化算法，包括格拉斯曼矩阵收缩以及近似紧框架(Compressed sensing projection matrix optimization algorithms, including Glassman matrix shrinkage and approximate tight frame)

《Simulations for Radar Systems Design》书的Matlab程序()

用matlab读入wav文件数据的小程序(using Matlab wav file read the small program data)

说明：  MATLAB在数据的统计与分析和信号处理中进行应用 (Statistics and MATLAB data analysis and signal processing applied)

this code describes hiding message, steganography based

Spread spectrum merupakan sistem dimana sinyal yang dikirimkan memiliki bandwidth yang jauh lebih lebar daripada bandwidth sinyal informasinya sendiri. Proses pelebaran bandwidth sinyal informasi ini dilakukan pada sisi pengirim dan disebut spreading. Sebaliknya, proses penyempitan kembali bandwidth sinyal informasi dilakukan di sisi penerima, dan disebut despreading. Pada gambar 1 berikut menunjukkan proses yang terjadi pada sistem spread spectrum.

Matlab是一个很好的大型数值计算软件。解释型的程序执行、即时的调试窗口、高效的矩阵运算、丰富的工具箱,使它成为了数值计算和科研工作的必备软件。虽然Matlab具有众多的优势,可是它的程序却很难完全摆脱Matlab环境运行,在界面功能上也效率低下,这些缺点我们在使用Matlab的同时,不免担忧自己的成果不能方便地对外发布。对Matlab的运行方式进行了分析,之后提出了Matlab和VC高级语言之间混合编程的方法,以及Matlab程序独立打包和如何提高Matlab程序的界面运行效率的方法。 更多还原 (Matlab is a nice large numerical software. Explain the type of program execution, real-time debug window and efficient matrix operations, rich toolbox, making it the numerical calculations and research work necessary software. Although Matlab has many advantages, but it is difficult to completely get rid of the program running Matlab environment, the interface functions inefficient, these shortcomings in the use of Matlab while we can not help but worry about their results can not easily be released. For Matlab operation mode are analyzed, and then propose a hybrid programming approach between Matlab and VC-level language, and Matlab program independent packaged and how to improve the operational efficiency of the Matlab interface procedures. More Restore)