aljabar-boole-2-(5)

LMS算法验证，节实验数据说明和程序设计(LMS algorithms and test data section, and program design)

基于这个类的工具箱允许你创建在“Google地球”，许多不同的地块，由自动创建所需的基于XML的KML文件，而无需用户交互。 有了它，您可以创建： - 线图，散点图 - 二维和三维轮廓 - 2D和3D多边形 - 颤动地块 - 写在一个特定点的文本 - 将三维模型 - 覆盖图像 - 为图像传输更复杂的数字 - 文件夹，子文件夹，... 总相似图 - 动画三维模型到一个预定义的轨迹 安装到您的MATLAB路径工具箱，工具箱目录，并运行： >> kml.install 现在，每个功能和可用的参数文件。要查看帮助，在MATLAB中运行： >> kmldoc 或 >> kmldoc kml.plot％或任何其他可用的地块 如果你喜欢它，只是给我发电子邮件在说什么你使用它:) kml@rafael.aero。 灵感来自于原来的Google地球工具箱，但使用XML对象实现的，这使得它更容易使用。我只是检查在MATLAB 2011a释放，但它应该在旧版本的工作太... （让我知道如果不！）(Based on this class allows you to create a" toolbox in Google earth", many different plots, created automatically by the XML based on the KML file, without the need for user interaction. With it, you can create: - line graphs, scatter diagram -2D and 3D contour - 2D and3D polygon - fibrillation plots - written at a particular point in the text - the three-dimensional model - cover image For more complex digital image transmission Folder, subfolders, total similarity graph ... - Animated3D model into a predefined trajectory Install to your path to the MATLAB toolbox, toolbox directory, and run: > > kml.install Now, each function and the available parameter file. To view the help, running in the MATLAB: > > kmldoc Or > > kmldoc kml.plot or any other available plots If you like it, just email me say in what you use it ): kml@rafael.aero. Inspiration from the original Google earth toolbox, but using the XML object is achieved, which makes it easier to )

An example of the German enigma encryption technology COOL

旋转机械二维全息谱计算，加入重复控制，基于混沌的模拟退火算法。( Rotating machinery 2-d holographic spectrum calculation, Join repetitive control, Chaos-based simulated annealing algorithm.)

说明：  用matlab实现拟合的几个例子源码， ％x,y应是原始数据，下面的数据仅是为了说明问题而自设的示例数据。(Matlab fitting used to achieve a few examples of source code, x, y should be the raw data, the following data only to illustrate the problem of sample-based data.)

说明：  用于灰色预测的GM(1,1)程序，输入时预测原始数据，输出时预测数据加处理后的原始数据(gm(1，1）process)

very good in fact. looking forward to see more codes

Sparse representation based classification (SRC John Wright CVPR2009) 实现(Sparse representation based classification (SRC John Wright CVPR2009)‘s codes)

实现雷达线性调频信号的点目标回波产生、干扰信号与目标回波叠加并进行脉冲压缩处理(chirp signal,target echo and jamming signal generation and pulse compression)

光纤光栅光谱重构原文，包括DLP和CLP两种算法计算步骤，英文版(Two methods for grating synthesis which have appeared in the literature recently are compared directly. )