qaohei_V2.7

说明：  用MATLAB语言编程计算半波对称振子场图，电流分布和输入阻抗(Using MATLAB programming language calculated half-wave field in plane symmetric oscillator, current distribution and input impedance)

说明：  电力系统三机系统仿真 已经调试成功可直接使用(Three-machine system simulation power system has been successfully commissioning can be used directly)

程序将一年中的天数转换到相应的月份及日期。适用于TLE数据中的日期转换。程序不用if语句，简单易懂高效。输入参数可以是数组形式。(The program will convert the number of days in a year to the corresponding month and date. TLE data for the date conversion. Program without the if statement, straightforward and efficient. Input parameters may be matrix form.)

关于VMD的一篇博士论文，其中比较了EMD和LMD以及VMD的分解效果，证明VMD分解有较好的效果。(A doctoral thesis on VMD, which compares the decomposition effects of EMD, LMD and VMD, proves that VMD decomposition has a good effect.)

说明：  Sparse Bayesian Learning

带有visual接口的matlab稀疏表示算法，以及对应的文章(Visual interface with matlab sparse representation algorithm, and the corresponding articles)

频域波束形成频域波束形成频域波束形成频域波束形成(Frequency domain beamforming frequency domain beamforming frequency domain beamforming)

一个使用matlab语言编写的粒子群算例，对初学者很有用(a example of particle swarm optimization)

实现DV-Hop定位算法的仿真,自动生成一定节点数的随即分布图，给出仿真结果的各点定位误差，用曲线图形显示，并可以计算平均误差。(DV-Hop simulation. Produce a randomly distributed nodes and then simulate and give the location error of each node, showing it in figure, and calculate the average error. )

基于 MATLAB 的时域信号采样及频谱分析 基本要求：① 掌握数字信号处理的基本概念、基本理论和基本方法； ② 学会 MATLAB 的使用，掌握 MATLAB 的程序设计方法； ③ 学会用 MATLAB 对信号进行分析和处理； ④ 信号的各参数需由键盘输入，输入不同参数即可得不同的x(t) 和x(n)； ⑤ 撰写课程设计论文，用数字信号处理基本理论分析结果。 (MATLAB-based time-domain signal sampling and spectral analysis of the basic requirements: ① to grasp the basic concepts of digital signal processing, basic theory and basic methods ② learn the use of MATLAB, MATLAB programming method to master ③ learn to use MATLAB to analyze the signal and processing ④ signal parameters to be input from the keyboard, the input parameters can be different in different x (t) and x (n) ⑤ thesis writing course design, with the basic theory of digital signal processing analysis.)