IEEE802.16标准系统的仿真802.16MATLAB

计算一个一位序列的极值（极大与极小） 并标注他们的位置 作图示意 并讨论在序列起始与终点的极值近似(Calculate a sequence of extremal (maximum and minimum) and marked their position plotted schematically and discussed in sequence starting with the end of the extreme value approximation)

三相无源逆变的仿真，采用双闭环控制，PT调节器。(Passive three-phase inverter simulation, using the double closed loop control, PI regulator )

本文件对PID参数kp,ki,kd进行寻优，以ITAE作为指标函数。 PSO 文件中有详细的参数设置和寻优过程 GA寻优与PSO寻优作为对比出现 figure1展示了随着迭代次数的变化，适应度函数的收敛情况 figure2展示了kp,ki,kd的迭代情况 ht 文件是用来画图的 问题解决思路.pdf 简要介绍了粒子群算法寻优的过程(In this document, the PID parameters KP, Ki, KD are optimized, and ITAE is used as the index function. PSO file has detailed parameter settings and optimization process GA optimization and PSO optimization as a contrast appear Figure1 shows the convergence of fitness function as the number of iterations changes Figure2 shows the iterations of KP, Ki, and KD The HT file is used for drawing The problem solving idea.Pdf briefly introduces the process of particle swarm optimization)

说明：  matlab code for gfdm

说明：  切比雪夫滤波器，切比雪夫I型滤波器设计，双通切比雪夫滤波(Chebyshev filter,Design of Chebyshev I filter, double pass Chebyshev filter)

This program lets you put one image into the same voxel space as another image. E.g. you might want to extract a Brodmann area from the brodmann.img file that comes with MRIcro, and then put that set of 1x1x1mm voxels into the same voxel space as your functional data, which probably covers a smaller volume and has larger voxels. Then you can use the Brodmann area as an ROI to explore your functional results.

灰色关联分析，用于数据的关联度分析，希望对大家有帮助(Grey relational analysis for correlation analysis of the data, we hope to)

采用KPCA方法的人脸识别算法，包含算法的matlab实现源码及相关测试、训练数据集(KPCA based face recognition algorithm, matlab source code of the algorithm implementation and related testing, training data set contained)

说明：  IMF能量计算，能量熵 ，EMD，matlab(IMF energy calculation)

全英文，讲述matlab功能，使用，开发等等(Wholly in English, on the matlab function, use and development and so on)