rls

说明：  图像处理，RS编码，纠错码这个单元对每个扰码后的传输数据帧,包括同 步字节进行截短的RS(204,188)编码.RS编码时, 在信息位前添加51字节的“0”再进入RS(255,239) 编码器,编码后再截去这些字节.RS(255,239)编码 (Image processing, RS coding, error correction code for each scrambling code of this unit after the transmission of data frames, including the sync byte truncated RS (204,188) code. RS encoding, the information bit before adding 51 bytes &quot 0 &quot and then enter the RS (255,239) encoder, encoding the bytes and then amputated. RS (255,239) coding)

This code matlab is focused on robust control of permanent magnet synchronous motors

人工鱼群算法，一种基于智能的鱼群算法，用于学习目的。(Swarm fish code for learning with matlab tool)

The “INVERTED PENDULUM, ANALYSIS, DESIGN AND IMPLEMENTATION” is a collection of MATLAB functions and scripts, and SIMULINK models, useful for analyzing Inverted Pendulum System and designing Control System for it.

科学运算语言matlab的程序设计有关的函数code.rar(Scientific computing matlab programming language-related function code.rar)

转子动力学中的单转子简支碰摩仿真matlab程序(The single rotor simply supported rotor dynamics Rubbing simulation matlab program)

本程序仿真了高斯噪声的几种概率密度估计方法(This procedure simulated several Gaussian noise probability density estimation method)

主动悬架系统 能够保持车辆运行操作稳定性(Active suspension system)

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

人脸识别代码，数字图像处理 使用matlab内置函数(face detection program, using matlab function to detect human face )