xiaobohanshu

用matlab编写的suzuki模型的衰落信道仿真模型(using Matlab model prepared by the suzuki the fading channel simulation model)

Matlab code of Zero Forcing Symbol Space Equalizer using MMSE

人脸识别中核心算法的MATLAB软件实现例程(The core algorithm of face recognition in MATLAB)

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.)

K分布海杂波程序，用matlab尽心仿真(K Distribution Sea Clutter program)

微动经典文献，可以帮助大家学习微动方面的知识。里面包含三篇文献，都是雷达目标回波的。(Fretting classic literature can help us learn fretting area. Which contains three documents are radar target echo.)

this is about active power filter

说明：  较为详细的陈述了MATLAB用于图形图像处理的源程序(A more detailed statement of the MATLAB image processing for graphics source)

自适应卡尔曼滤波的详细论述，附有卡尔曼滤波的程序实现，(Adaptive Kalman filter in detail, the procedures for implementation with Kalman filtering,)

随着应用的越来越复杂，对数据同步和存储的要求越来越多，有时候我们面对大量复杂的数据加载和数据同步代价，尤其是如果单服务器无法承载大量应用数据的时候，我们如何可以实现动态扩展服务器已达到负载均衡的目标(As applications are becoming more complex, the data synchronization and storage requirements are more and more, sometimes we are facing a large amount of data loading and data synchronization costs, especially if a single server cannot load a lot of the time of application data, how can we realize the dynamic extension of the server has reached the aim of load balancing)