yasuoganzhi

水准网平差，采用C#和MATLAB混合编程的，使用的时候得安装MATLAB的基础支持库(Leveling network adjustment, using C# and MATLAB programming mix, using the one time of installation of MATLAB-based support library)

A matlab code for a reinforment learning routing problem(A Matlab code for a reinforment learning ro uting problem)

全数字接收的同步技术，包括内插器、定时检测器、数字振荡器等部分，是一篇较早比较有参考价值的论文，在学习全数字接收机同步方面重要。作者gardner(Synchronization of all-digital receivers, including interpolator, timing detector, digital oscillator and some other, is an earlier paper are more useful in learning the important aspects of all-digital receiver synchronization. On the gardner)

开发环境： Matlab Version 7.8.0.347(R2009a) Visual Studio 2005(.NET 2.0, C#) 演示如何在ASP.NET(C#)网页中调用MATLab函数的例子。(Development Environment: Matlab Version 7.8.0.347 (R2009a) Visual Studio 2005 (. NET 2.0, C#) to demonstrate how in ASP.NET (C#) page MATLab function call example.)

Matlab code for succsesive approximation ADC

harmunic generation in power system in matlab simulink

MATLAB源码MIMO-OFDM（simulinkANDmatlab）MIMO-OFDM不同信道估计的对比(MATLAB source MIMO-OFDM simulinkANDmatla MIMO-OFDM channel estimation with different contrast)

用于对全景镜头进行标定，能求解出图像上对应点的世界坐标的方向向量(The OcamCalib Toolbox for Matlab allows the user (also inexpert users) to calibrate any central omnidirectional camera, that is, any panoramic camera having a single effective viewpoint (see section 17). The Toolbox implements the procedure initially described in the paper(Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion", Proceedings of IEEE International Conference of Vision Systems (ICVS 06), New York, January 5-7, 2006.) and later extended in (Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Toolbox for Easy Calibrating Omnidirectional Cameras", Proceedings to IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing China, October 7-15, 2006. ). A detailed introduction to this model is in section 19 of this Tutorial. Furthermore, you can also see a demo of how the toolbox works here. The Toolbox permits the user to easily and quickly cal)

斯坦福大学关于非线性问题的求解，nonlinear problems (nonlinear problems)

fuzzy cmeans program in matlab for segmentation