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非常不错的QPSK在matlab中的仿真教程，文档中包含相关的所有代码(very good QPSK in the Matlab simulation Guide, the document contains all the related code!)

GREY PREDICTION ALGORITHM implementation in matlab source code

利用Matlab提取图片中的数据 从事科研或者工程的人员在文档撰写过程中，常需要将文献中的曲线与自己的结果对比，为获取原始数据，一种常用的办法是手动描点，即将原始曲线放大然后打印出来，选取一定数量的点，读出其横纵坐标，然后重绘。对于较为平坦的曲线，这种方法当然可行，但当曲线数量增加，曲线变化复杂，这种方法工作量可想而知。前段时间由于原始数据丢失，仅剩几十幅图片，本人尝试过手动描点，经历几个小时奋战，实在无法继续，索性转向matlab，借助其强大的数据处理能力，编写了两个GUI的小软件image2data、data_poly提取数据，如今大功告成，遂于大家分享。(Using Matlab to extract picture data in scientific research or engineering personnel in the process of writing documentation, often need to curve in the literature comparing the results to obtain the original data, a common approach is described in the manual, is about the original amplification curve and then print it out, select a certain number of points, read out its horizontal and vertical coordinates, and then redraw. For a flatter curve, this approach is of course possible, but when the increase in the number of curves, the complexity of the curve, this method can imagine the workload. Some time ago due to the loss of original data, except for the dozens of pictures, I tried manually tracing point, after several hours of fighting, I can not continue to simply turn to Matlab, with its powerful data processing capabilities, the preparation of two GUI software image2data, data_poly extract data, and now you' re done, then share with you.)

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说明：  Modeling of Body Area Network in Medical Healthcare Applications

主要说明了在噪声干扰下　如何利用ＭＡＴＬＡＢ实现图象恢复(main note of the noises using MATLAB Image Restoration)

适合初学者的matlab数值教程，简单介绍了matlab中数值的表示方法(Numerical matlab tutorial for beginners, a brief numerical representation in matlab)

ofdm正交频分复用系统误码率ber，比较简单，基础框架(the ber of ofdm system)

基于数据的PCA程序，程序中有故障预测，故障提取，故障预测，故障幅值估计等内容。(based on the PCA program, the program has fault prediction, fault extraction, fault prediction, fault magnitude estimation content.and so on.)

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，可视性很强，自己独立编写的数据和图形，学习非常值得(Uses the Matlab GUI design to have the input and output function the interface graph, the visibility is very strong, the data and the graph which oneself compiles independently, the study is very worthwhile.)