FSK-resources

样本熵的matlab源代码，可以求出样本的熵值(Sample Entropy)

a matlab code for calculating activation coefficient from row EMG (electromyography) data with 2 methods.

内含两个程序：1.平移变换平移法(cycle_spinning)消除gibbs(吉布斯)效应 2.MATLAB中测试程序运行时间的函数.m(Includes two procedures: 1. Translational transform translation (cycle_spinning) Elimination gibbs (Gibbs) 2.MATLAB effect of test procedures to run a function of time. M)

一个语音信号处理中的自编端点检测源程序，写得还可以。(A speech signal processing in the self endpoint detection source.)

利用matlab实现现代法功率谱估计的源代码，没有调用函数，希望对大家有用(Using matlab source code power spectrum estimation of modern France, and call the function, and the hope that useful)

adaptive MMSE equalizer

mtlab仿真的基于遗传算法的pid,实数编码和二进制编码(mtlab simulation based on genetic algorithms pid, real coding and binary coding)

利用MATLAB对高高光谱图像数据进行分析，程序很全面，对做高光谱的同志很有帮助哦(the procedure using matlab process the hyperspectral image)

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)

说明：  Modeling of Body Area Network in Medical Healthcare Applications