PV_panel

对均衡进行初始化，并计算固定均衡矩阵等固定参数。 (Initialization and calculation of ixed parameters, e.g. cell positions,equalization matrix etc.)

此文件为归一化LMS算法的matlab程序(normalized LMS)

该程序计算了接收分集中等增益合并的误码率，并有理论值和仿真值的比较(The program calculates the bit error rate of receive diversity and equal gain combining, and the theoretical values ​ ​ and simulation values)

骨架。点云的提取。是国外的一篇论文。写的非常不错，采用Matlab实现。(Skeleton. Point cloud extraction.)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

MATLAB CODE FOR SIMULATION OF A SUCCESSIVE APPROXIMATION CONVERTER(MATLAB CODE FOR SIMULATION OF ASUCCESSIVE APPROXIMATION CONVERTER)

压缩感知的算法，时间比较短，精度比较高。谢谢(Compressed sensing algorithm, the time is short, accuracy is relatively high. Thank you)

说明：  缴费点选址问题，是数模中的热点，可以通过对最短路程、居民满意度、排队等待时间综合考虑，得到较为全面合理的结果(Payment point location problem is one of several modes in the hot, can by the shortest distance, residents satisfaction, waiting time into account, to be more comprehensive and rational results)

采用m-line方法，matlab编程，通过棱镜耦合角计算波导薄膜的厚度h和折射率n。(Using m-line method, matlab programming, through the prism waveguide coupling angle calculated film thickness h and refractive index n.)

Matlab code fdtd 2D using absourdary condictions PML.