aiai

how to create rec code rate 2

产生速率160Gbit/s,脉宽1.25ps的一阶高斯脉冲模拟序列（101101）(Production rate of 160 Gbit/s, pulse width 1.25ps first order Gaussian pulse simulation sequence (101101))

说明：  多机器人系统的集群控制仿真实现，其中运用势场法实现了集群的稳定(Realization of Cluster Control Simulation for Multi-Robot System)

这是我们通信原理课程的实验，里面包括各种通信原理实验中的码型，波形，眼图文件等等，供同专业的朋友们学习参考。(This is our experimental communication theory courses, which include a variety of communication theory experiment in pattern, waveform and eye diagram files, etc., for friends who study with professional reference.)

Multiscale Block Compressed Sensing with Smoothed Projected Landweber Reconstruction

ann k-fold cross validation matlab cone

智能天线，自适应非盲算法LMS，探测制导LMS with white input.由于上传格式限制题目看仔细。后续还有上传，尽请期待。(Smart antennas, adaptive algorithm for non-blind LMS, probe-guided LMS with white input. As the title of carefully limit upload format. From there follow-up, please do not expect.)

MATLAB遗传算法工具箱及应用。本书系统介绍MATLAB遗传算法和直接搜索工具箱的功能特点、编程原理及使用方法。全书共分为9章。第一章至第四章介绍遗传算法的基础知识，包括遗传算法的基本原理，编码、选择、交叉、变异，适应度函数，控制参数选择，约束条件处理，模式定理，改进的遗传算法，早熟收敛问题及其防止等。(MATLAB genetic algorithm toolbox and its application. This book describes the features of MATLAB Genetic Algorithm and Direct Search Toolbox, programming principles and use. The book is divided into nine chapters. Chapter to Chapter IV describes the basics of the genetic algorithm, including the basic principles of genetic algorithm, encoding, selection, crossover and mutation, the fitness function, the control parameter selection and processing constraints, schema theorem, improved genetic algorithm, precocious convergence problem and its prevention.)

三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性 之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含 有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云 法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后 为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)

这是用Matlab编写的萤火虫算法。这是一种群体智能算法，在优化中有广泛的应用。(It is used Matlab prepared Firefly algorithm. This is a swarm intelligence algorithm, widely used in optimization.)