A1_10

说明：  几个凸优化函数，用于解决非约束和带约束条件的凸优化问题(Several convex optimization function, for solving non-binding and the constrained convex optimization problem)

用二分法和简单迭代法计算 在[1，2]内的近似根，要求精度达到10-4和10-5，并给出二分和迭代的次数，分析和比较算法的效率差异，最后与理论估计的二分和迭代次数作比较。(Calculated by the dichotomy and simple iterative method in [1,2] within the approximate root, requiring precision 10-4 and 10-5, and gives two points and the number of iterations, the efficiency gap analysis and comparison algorithms, and the final theory two points and the estimated number of iterations for comparison.)

说明：  实现三电平整流功能，相对于两电平，电平数更多，谐波更小(Achieve three-level rectification function, with more levels and less harmonics than two levels)

《数字信号处理：基于计算机的方法（第三版）》资源下载第一部分。 著者： （美）米特拉著 作译者： 孙洪等译 ISBN号： 7-121-02652-X 出版日期： 2006-06 出版社：电子工业出版社 内有书中事例所用的语音，图片和视频信号DEMO。()

matlab code modem PAM

说明：  超高频RFID读写器研究与设计 本课题以超高频RFID读写器硬件实现为主要本文设计RFID读写器硬件基带和射频部分的参数都可以满足要求，读写器可 以正常读、写符合15015000一6C或者 EpCglobalClasslGenZ协议的电子标签， 其上传速率可以达到640kbPs，配合上层的软件设计可以实现读写器考勤功能，经 过测试验证本系统可以长时间地稳定工作。 (UHF RFID reader research and design of this issue using the UHF RFID reader hardware designed in this paper as the main RFID reader hardware, baseband and RF part of the parameters are to meet the requirements of a normal reader can read, 15.015 million was in line with the agreement of a 6C or EpCglobalClasslGenZ electronic tags, its upload speeds can reach 640kbPs, with the top of the software design can be achieved reader attendance functionality, the system can be tested and verified for a long time stable jobs.)

SG平滑滤波matlab源码，在平滑去噪方面很有用(SG smoothing matlab source code, useful in smoothing denoising)

PSO algorithm for solving basic question. It combine with c1 and c2, which their sum are between 0 to 4.

matlab很强大应用——pca的应用，希望对你有用，很好，很强大(Matlab is strong applications-the application of pca, hope to be useful to you, very good, very strong)

MATLAB计算机视觉与深度学习实战-运行视频(As a biological technology, face is difficult to be stolen and infection-free. In addition to that, it enjoys the authentication concealment and is never forgotten. Therefore, authentication based on face recognition will become the mainstream of future development. It has important and extensive application in various fields, and is also a hot topic at present biological characteristics identification technology research. Under the non-restrictive condition, the face recognition rate is not high, and its accuracy needs to be further improved. In this paper, the following aspects is analyzed)