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- 本文主要讨论在MATLAB软件中如何实现C程序源代码的移植。结合"道路平整度指数(IRI)预测问题"的实例,将C语言编写自仿射变换分形插值函数,移植(或改写)到MATLAB中,绘制出宁波机场道路平整度的预测图象,为解决预测问题可视化提供帮助。-This paper mainly discusses the MATLAB software, how to achieve C source code of the transplant. Conjunction with the road roug
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- 道路中心线的检测，基于matlab实验，包括源码，实验图片-Detection of the road centerline, matlab-based experiments, including source code, experimental picture
CNN_GUI
- matlab的二值化代码,将一副路面的图形中的边界线,显示出来-matlab' s binary code, a road graph of the boundary line, displayed
JakesModel
- 关于瑞利信道的JAKES模型的MATLAB代码，输入数据经过瑞利信道后产生输出-On the Rayleigh Road JAKES model MATLAB code, the input data through the output resulting from Rayleigh Road
Rayleigh
- MATLAB瑞利信道仿真代码，有相关的文档说明-MATLAB simulation code in Rayleigh Road, has documented relevant
MATLAB-control-application
- 对MATLAB软件在控制领域的应用进行了详细介绍。内容包括使用DAS工具箱函数和ActiveX控件设计数据采集与控制程序；使用串口I/O流和MSComm控件设计串口通信程序等。每种程序设计方法都提供了多个典型应用实例，每个实例都提供了线路图、详细的程序设计步骤和完整的源代码可供自动化、计算机应用、电子信息、机电一体化、测控仪器等专业的大学生、研究生及相关技术人员学习和参考。 -MATLAB software in the control area of the application in de
Rayleigh-Road
- 瑞利信道MATLAB实现，基于matlab的源代码-Rayleigh Road MATLAB implementation, based on the source code matlab
vp_code_Gabor
- 这个代码能够比较精确地实现图像中道路区域的分割与提取。-This code addresses this question by decomposing the road detection process into two steps: the estimation of the vanishing point associated with the main (straight) part of the road, followed by the segmentation of
Road Hump Detection using ANN
- Matlab code for Road hump detection using artificial neural network.
xuanzhiwenti
- 选址问题Matlab计算代码，以manhattan距离为基础，内还有路线图作图代码-Siting Matlab computing code, based in manhattan distance, the road map as well as mapping the code
一维热传导方程_有限差分
- 分层的一维热传导方程的有限差分法MATLAB程序，是简单的显式差分格式，尽量使用了矩阵运算，没有符号运算。 文件chafen1.m以路面为例，假设有多层建筑材料，热传导系数已经在代码中给出。用户使用时请按自己需要修改chafen1.m文件，增减层数，修改热传导系数等即可。(One-dimensional heat conduction equation finite difference method MATLAB program, is a simple explicit differenc
BP神经网络预测
- BP神经网络预测matlab的源代码，里面还附有公路运输的预测实例，只需修改数据即可。(BP neural network predicts the source code of matlab, which also includes a road transport prediction example, just need to modify the data.)