donglixuefangzhen_huadongbai

m-file for recording and playing audio

newton method for finding the minima of a function

电力电子控制使用的6脉波驱动产生仿真模型(power sixpulse)

这是一个数据处理程序，对数据进行归一化处理(This is a data processing program, the data normalization processing)

MATLAB的关于基于改进粒子群算法的电力系统无功优化(Reactive power optimization of power system based on Improved Particle Swarm Optimization Algorithm)

给出接收信号眼图及系统仿真误码率，快速扩展随机生成树算法，有PMUSIC 校正前和校正后的比较。( The received signal is given eye and BER simulation systems, Rapid expansion of random spanning tree algorithm, A relatively before correction and after correction PMUSIC.)

首先介绍了VC ++ 6. 0 ,OpenGL 和MATLAB 6. 0 三种软件各自特点 其次在各自特点的基础上,建立了 基于三者相结合的自由飞行空间机器人仿真试验平台 最后以建立自由飞行空间机器人的运动仿真系统为例, 说明了该试验平台的优越性和有效性。(First introduced the VC++ 6. 0, OpenGL and MATLAB 6. 0 followed by three features of the software in their respective characteristics on the basis of the three based on a combination of free-flying space robot simulation platform in order to establish the final free-flying space robot movement simulation system as an example to show the superiority of the test platform and effectiveness.)

THE REGULATOR OF SPEED OF DOUBLE FEED INDUCTION GENERATOR

Rosenblatt感知机Matlab实现算法线性分类器的第一个迭代算法是1956年由Frank Rosenblatt提出的. 这个算法被提出后, 受到了很大的关注. 感知器在神经网络发展的历史上占据着特殊的位置: 它是第一个从算法上完整描述的神经网络. 在20世纪60年代和70年代, 受感知器的启发, 工程师, 物理学家以及数学家们纷纷投身于神经网络不同方面的研究. (Rosenblatt perceptron Matlab algorithm linear classifier, an iterative algorithm is proposed by Frank Rosenblatt in 1956. The algorithms have been proposed, there have been a lot of attention. Perceptron in the history of the development of neural network occupies a special Location: It is the first complete description of the algorithm neural network in the 1960s and 1970s, was inspired by the perceptron, engineers, physicists and mathematicians have engaged in different aspects of the neural network .)

ITU标准下的大气传播衰减计算程序，使用简单方便，只需要输入传播角度，高度，气候环境，即可计算大气传输损耗（不包括自由空间传播损耗）(According to the ITU standard, this program calculates the atmospheric loss. It is simple to use, you only have to input some parameters such as height, elevation angle, etc)