openloop

这是Matlab实现的非常简单的数字信号调制仿真，用于Xilinx FPGA（ASK, BPSK, FSK, OOK, QPSK）(Matlab is very simple simulation of digital signal modulation for Xilinx FPGAs (ASK, BPSK, FSK, OOK, QPSK))

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.)

mimosimulation，ofdmsimulation(mimosimulation, ofdmsimulation)

高斯赛德尔消元法、Heun法等实现线性方程组的求解、另附一份MATLAB之GUI设计基础(High Sisaideer elimination method, Heun method to achieve linear equations, attach a MATLAB GUI design basis)

Object programming on C++.

这是turbo编码的matlab演示程序，可以在各种matlab版本中运行，大家试试吧(This is the turbo coding Matlab demo program, in various versions of Matlab run, we try it)

Modeling Rayleigh fading channel based on modified Jakes channel model.

基于数字地球的车载卫星导航定位的设计与实现(Digital Earth s satellite navigation and positioning the vehicle design and implementation)

BP神经网络源代码 matlab编写程序(BP network)

itis a method for sensor fusion in which we use previous data to modify the present data to get better outputs