seasar5

基于MATLAB图像分维数的计算 欢迎大家下载(fractal method)

把已知的时域信号进行傅里叶变换在频域上显示。(If you are running a lot of time based simulations, often you will want to see the frequency response. Here is a function that may help.)

Matlab串口通信接收发送程序，简单实用，适合初学者(Matlab serial communication program include receiver and send)

Clarke模型的提出代表了Rayleigh分布用于平坦小尺度衰落统计模型的开端。虽然因为其实现比较复杂，而更倾向于被认为是一种数学模型而非仿真模型，但所涉及到的Rayleigh衰落信道的概念是其后众多改进模型的基础(The Clarke model put forward on behalf of the beginning of the Rayleigh distribution for flat small-scale fading statistical model. Because its implementation is more complex, and more inclined to think that instead of the simulation model is a mathematical model, but involved in the Rayleigh fading channel concept is the basis of many subsequent improvement model)

本文件包含了William Stallings编写的优秀教材Data and Computer communications的中文影印版，以及书中的课后习题答案(This document contains the William Stallings excellent teaching materials prepared by Data and Computer communications photocopy version of the Chinese, as well as after-school book answer Exercises)

robot matlab simulation

利用firpmord和firpm函数设计双带通滤波器，其指标为，第一带通指标：f =4kHz,f =5 kHz ,f =3.6 kHz ,f =5.4 kHz 第二带通指标：f =6kHz,f =7 kHz ,f =5.6 kHz ,f =7.4 kHz 通带衰耗A <3dB，阻带衰耗A >40dB，抽样频率f =20kHz。(Double belt pass filter using firpmord and firpm function design, for its indicators, through the first area index: f = 4 kHz, f = 5 kHz, f = 3.6 kHz, f = 5.4 kHz The second bandpass indicators: f = 6 kHz, f = 7 kHz, f = 5.6 kHz, f = 7.4 kHz Pass band attenuation A < 3 db, stop-band attenuation A > 40 db, f = 20 KHZ sampling frequency.)

使用MATLAB程序编写的MP4视频转换程序，支持iBEwcP格式和viLAedU格式的转换，解码时音视频数据的获取就是建立在此之上的,学习MP4的最佳程序 (Using MATLAB programming MP4 video conversion program that supportsiBEwcP format and formatviLAedU conversion, access is built on top of this, the best learning program MP4 audio and video data decoding )

说明：  离散型永磁同步电机滑模控制，采用锁相环实现角度估算，角度误差低，效果好。(PMSM_SMO_PLL,test is good.)

本程序是原始粒子群算法，对一个简单函数的优化，可用来与其他算法功能进行比较。(This procedure is the original particle swarm optimization, a simple function of the optimization function can be used to compare with other algorithms.)