fuigang

aoutomatic park count

《visual c++matlab图像处理与识别实用案例精选》源码(" Visual c++ matlab image processing and recognition of practical cases selected" source)

说明：  基于filedII的超声成像原理、方法的研究。该程序适合filedII初级学习者。(The ultrasound imaging based filedII principles, methods of research. The program for filedII primary learners.)

最速下降法，是数值分析中很重要的一种，源码为其在matlab中的实现。(Steepest descent method, numerical analysis is a very important one in the matlab source code for its realization.)

主要完成跳频通信中多音干扰模块的实现，采用了simulink搭建。(Complete the implementation of multi-tone interference in frequency hopping communication module, using simulink structures....)

说明：  turbo 码的编码与译码，用matlab仿真，为m文件(turbo code encoding and decoding, using matlab simulation, for m documents)

目前常用的snake算法，包括gvf和vfc snake (Snake algorithm currently used, including gvf and vfc snake)

QPSK signal matlab code

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.)

自己编写的OOK调制与解调，内含matlab-figure-file、matlab-M-file和得出的jpg格式图形！(I have written OOK modulation and demodulation, containing matlab-figure-file, matlab-M-file and come to the jpg format graphics!)