matlabwav

超宽带中，基于MB-OFDM的信道估计的MATLABA仿真程序(UWB based on MB-OFDM channel estimation MATLABA the simulation program)

运用matlab编写DNN程序，带有几个实例，有BP神经网络，relu，sigmod等~(Using matlab to write DNN program, with several examples, such as BP neural network, relu, sigmod, etc.~)

说明：  第二章 MATLAB 图形绘制基础 2.1 二维绘图 2.1.1 基本绘图函数 2.1.2 图形窗口的修饰 2.2 三维绘图 2.2.1 plot3 函数 2.2.2 三维网格图和曲面图

灰狼优化算法和粒子群算法性能比较，附加灰狼算法介绍的PDF(Performance Comparison between Grey Wolf Optimization Algorithm and Particle Swarm Optimization Algorithm)

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)

说明：  雨流计数法的matlab实现-三点法与四点法两种实现方法。此文档为应用三点法与四点法的雨流计数法的具体matlab代码与部分测试数据(The realization of rainflow counting method in matlab-three-point method and four-point method. This document is the specific matlab code and part of the test data of the rain counting method using the three-point method and the four-point method)

FDTD for 2D metal plane object, It is very valuable reference because is the basement for 3D FDTD program.

Matlab基础学习资料，从功能介绍到程序设计，为初学者提供很好的引导作用(Matlab-based learning materials, from functional description to the program design, to provide a good guide for beginners)

adaptive denosing matlab code for median filter

风力机控制模型 仿真举例in matlab case1 (reduced-order linear modelling of a scig-based wecs)