Quadratic-programming

跳频通信的基本实现代码，对学习跳频通信有很大帮助(hopping communication to achieve the basic code for the study hopping communication will be of great help)

包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，FMCW调频连续波雷达的测距测角，是本科毕设的题目。( Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, FMCW frequency modulated continuous wave radar range and angular measurements, The title of the commercial is undergraduate course yo.)

利用MATLAB仿真小斜视角情况下理想点目标的合成孔径雷达回波数据，并利用RDA算法进行点目标成像。(the echo data of the ideal point target from small oblique Angle is simulated, and the target image is obtained by using RDA.)

KNN algorithm on IRIS data using matlab

随机产生100个字母，并统计元音与半元音字母个数(Randomly generated 100 letters and vowels and semi-vowels statistical number of letters)

三相全控桥SVPWM matlab（simulink）的仿真电路(Three-phase full-controlled bridge SVPWM matlab (simulink) circuit simulation)

MATLAB实现的层次分析法的GUI程序 辛辛苦苦自己做的 (aph in MATLAB GUI)

说明：  该文件包括几篇比较关于LDPC编码核心的基础读物，还有关于LDPC开发的MATLAB仿真库和运用该库所进行的一些仿真源码(The documents include a few more LDPC coding on the basis of the core reading, also on the development of the LDPC MATLAB simulation library and use the library for the simulation source code)

k-means聚类算法的matlab代码 截图的 想用还是自己手打吧(k-means clustering algorithm matlab code screenshot or their own hands to fight it.)

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.)