CIC

这是我在学习过程中找的用matlab求解优化问题的很不错的一个方法介绍。(This is what I look for in the learning process of using matlab for solving optimization problems in a way very good introduction.)

Adaptive Filter_Simon Haykin_Matlab_code DSTBC

计算声音的旋律，利用了听觉模型和相关函数。(Calculation of the melody of the voice)

说明：  in this matlab code we have used a new technique for imge processing -segmentation-

Implementation of LDPC code

说明：  第 5 代移动通信系统 (5G) 是面向 2020 年之后的新一代移动通信系统 , 其技术发展尚处于探 索阶段 . 结合国内外移动通信发展的最新趋势 , 本文对 5G 移动通信发展的基本需求、技术特点与可 能发展途径进行了展望 , 并分无线传输和无线网络两个部分 , 重点论述了富有发展前景的 7 项 5G 移 动通信关键技术 , 包括大规模天线阵列、基于滤波器组的多载波技术、全双工复用、超密集网络、自 组织网络、软件定义网络及内容分发网络 . 本文还概括性地介绍了国内 5G 移动通信的相关研发活 动及其近期发展目标 .(The fifth generation mobile communication system (5G) is a new generation of mobile communication system after 2020. Its technological development is still in the exploratory stage. Combining with the latest trends of mobile communication development at home and abroad, this paper prospects the basic needs, technical characteristics and possible development ways of 5G mobile communication development, and divides wireless transmission and wireless network into two parts, focusing on rich. Seven key technologies of 5G mobile communication, including large-scale antenna array, filter bank-based multi-carrier technology, full duplex multiplexing, ultra-dense network, self-organizing network, software definition network and content distribution network, are prospected. The related research and development activities and recent development goals of 5G mobile communication in China are also briefly introduced in this paper.)

说明：  MATLAB及其在电力系统仿真研究中的应用(MATLAB and Its Application in Power System Simulation Study)

基于KL25的开发例程，本例程关于异步通信，附带相关底层构建，十分适合初学者参考编程。(Based on KL25 development routine, the routine of asynchronous communication, with related underlying build, programming is very suitable for beginners reference.)

粒子群算法求解多维约束函数极值，并与遗传算法比较。结果发现，粒子群有很好的精度。(A particle swarm optimization algorithm for solving the extreme value of multi dimensional constrained function, and compared with genetic algorithm. The results show that the particle swarm has a good accuracy.)

一个DE多目标算法，可以绘制相应的pareto前沿(A DE multi-objective algorithm can draw corresponding Pareto frontiers.)