zhu3ci3compare

Fotran95接口用于MATLAB API 的设计中，比较好用。(Fortran 95 Interface to MATLAB API )

本资源是matlab精密单点定位后处理方法的源代码(This resource is the precise point positioning matlab source code approach)

LDPC编码常用的BP译码算法，以及SDMA多址中用到的BP算法的变种-MPA算法。(LDPC coding commonly used BP decoding algorithm, and SDMA multiple access used in the BP algorithm variants-MPA algorithm.)

关于信号和图像处理的稀疏分解的源程序，里面有详细的内容介绍，在WORD文档里面(Signal and image processing on the sparse decomposition of the source, which has detailed description, which in the WORD document)

matlab book for engineering and sicentfic

simulation of LTE OFDM system

说明：  用来进行双边带幅度调制DSB_AM的MATLAB源程序。(Demonstration script for DSB-AM. The message signal is+1 for 0 < t < t0/3,-2 for t0/3 < t < 2t0/3, and zero otherwise.actually means Rx(m-1). )

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.)

基于canny边缘检测，模糊c均值聚类的图像分割(Canny edge detection based on fuzzy c-means clustering image segmentation)

光伏发电模型，用matlab/simulink建立的光伏电池模型(Photovoltaic power generation model, the model of photovoltaic cells with matlab/simulink established)