junhengfenli

huffman coding of the bitstream

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

数学建模学习资料，建模方面详细讲解，是初学者学习建模的最佳选择(Mathematical modeling of learning materials, modeling to explain in detail)

盲源分离的FASTICA算法程序，对信号进行分离(Blind source separation procedure of FASTICA algorithm,)

FC HBA API的接口实现,这个实现可以满足很多做光纤卡的app级应用开发。(FC HBAAPI implementation )

本程序是对一些先进控制算法，例如内模算法，史密斯预估算法，前馈补偿算法和预测算法进行仿真．(This procedure is to simulink some advanced control algorithms, such as the internal model algorithm, Smith forecast algorithm feedforward compensation algorithm and prediction algorithm.)

基于MOGA方法的多目标遗传算法程序,本程序为通用包,可自行修改.(MOGA is based on the multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.)

Kalman filter simulation for a vehicle travelling along a road(Kalman filter simulation for a vehicle tra velling along a road)

计算图像的平均梯度和边缘强度的matlab源码，M文件形式(Calculating the average image intensity gradient and the edge of the matlab source, M documents in the form)

自适应网络模糊推论系统(ANFIS),产生输入输出变量的初始归属含数集合(Adaptive network fuzzy inference system (ANFIS), generating an initial ownership of the number of input and output variables containing the set)