PVarray

对随机序列进行（7,4）汉明码编码，经过bpsk调制解调，然后译码，最后绘出信噪比与误码率的关系曲线(Random sequences (7,4) hamming code encoding, after bpsk modem, and then decoding, and finally draw the signal to noise ratio and bit error rate curve)

640*480 256 色 .BMP 文件显示程序，可以浏览、同时显示 4 幅图象，也可以 在屏幕上开 一个窗口显示 .BMP 图象，并可以使用上下左右箭头键、PageUp/PageDown、Ctrl+Left、Ctr l+Right键浏览整幅图象，在S3、ATI等VGA卡上 调试通过(640* 480256 color. BMP file display program can browse, also showed four images on the screen can also open a window on the show. BMP images and can be used above and below the arrow keys, and Page/Prompt, Ctrl Left, Right keys Ctr l View the entire images in S3, ATI VGA cards such as debugging through)

这MATLABsimulink的一些动画的基本操作，非常有趣，也会提高你对MATLAB的学习兴趣~(The basic operation of this MATLABsimulink some animation, very interesting, will improve your MATLAB interest in learning to)

该方法 基于快速傅里叶变换，求解方形区域的poission方程 比差分 有限元快。

一个简化的H.261视频编码方案，最后显示两张图压缩编码后的压缩比(a simple h.261 video coding method, and finally display the compress rate of two pictures.)

本程序主要是把相同的类聚在一起，便于后续的分类，方法使用简单方便。(This procedure is the same class together, to facilitate the subsequent classification method easy to use.)

a Matlab toolbox for parametric identification of fluid-memory models associated with the radiation forces ships and offshore structures.

用MATLAB实现快速傅里叶变换。方程有需要的话，可以自己设定(Using MATLAB to achieve fast Fourier transform. Equation there is a need, they can set their own)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

说明：  dmc代码,实现动态矩阵控制，老外编写的代码(DMC)