an430

通过在MATLAB里编写M文件来建立结晶机的动态数学模型。(MATLAB years through the preparation of M files to create dynamic mathematical model of crystallization machine)

matlab并行处理的说明书，全英文的，里面讲的非常全面(matlab parallel processing manual, full English, which was about a very comprehensive)

基于瞬时无功功率理论的谐波和无功电力检测(Harmonic and reactive power detection based on instantaneous reactive power theory)

资料中包含的matlab代码是谱分析中周期图法的估计的详细代码，使用于学习周期图的同学使用(Data contained in spectral analysis matlab code periodogram estimation method detailed in the code used in the learning cycle diagram of the students to use)

CSR与NFC集合工具，NFC是只能适合复旦微的芯片，CSR适合ROM版本和FALSE版本(CSR and NFC collection tools, NFC is only suitable for fudan micro chips, CSR for ROM version and FALSE version)

极化码开发作者原论文发表于2009 解释极化码研发原理 应用以及不足(Polarization code developed to explain the polarization of the original papers published application code development principles and inadequate in 2009)

a UINT8 montage image comprising the images named in cell Array Of Images.

直接序列扩频的系统仿真，适合理解原理，很实用(Simulation of direct sequence spread spectrum system for understanding the principle, it is practical)

学习OFDM系统仿真的好例子，对了解系统组成和原理非常有用。(OFDM system simulation study a good example of understanding the system and principles of very useful.)

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.)