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英文版本的关于反馈fxlms算法在主动降噪中的使用，很不错的一个pdf(Feedback fxlms English version of the algorithm on the use of active noise reduction, very good one pdf)

在理想情况下，假设匀速直线行驶，一直杆臂长度，求杆臂速度。(In the ideal case, assuming uniform linear driving, always arm length, and the lever arm speed.)

The goals of writing this book are (1) to provide the reader with simple, easy, hands-on introduction to MATLAB (2) to demonstrate the use of MATLAB for solving electronics problems (3) to show the various ways MATLAB can be used to solve circuit analysis problems and (4) to show the flexibility of MATLAB for solving general engineering and scientific problems.

OFDM 系统的误码率的MATLAB仿真代码 可用欢迎下载(OFDM BER )

基于Creator 大地景建模的研究与实现以飞行模拟仿真为应用背景,研究基于Creator 软件平台的大地景建模关键技术(research the key technology of large landscape modeling basing on Creato)

MLI triphasé onduleur

matlab code for beging cc motor...

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

CreateConstellations.m用matlab实现一个星座图象(CreateConstellations.m using Matlab achieve a constellation of images)

RSSI仿真定位算法 ，使用RSSI算法进行定位( RSSI location algorithm simulation, using the RSSI algorithm to locate)