lyapunov

使用CRgn对象得到某一特定区域，C++精选学习源码，很好的参考资料。(Use the CRgn object to get a specific area, select learning C++ source code, a good reference.)

matlab基于DSP的雷达方式QAM信号调制方法(failed to translate)

利用改进的fxlms算法降噪，另附有自编fxlms函数代码(The improved noise reduction algorithm fxlms, self fxlms have attached the function code)

说明：  该程序可以实现对于信号的时域参数提取以及信号的包络分析(The program can realize time domain parameter extraction of signals and envelope analysis of signals)

实现快速傅里叶变换，自编函数FFT.而不需使用matlab自带的FFT函数(it can realize the fast fuleir tansform)

非平衡数据集的分类问题经常出现在许多实际应用中.支持向量机在处理这一类问题时,整体分类性能比较低.为此,Veropoulos提出的采用不同惩罚系数的改进算法可以较好的解决此类问题.此外,可以利用序列最小优化算法简单快速的解决上述优化问题.(Non-equilibrium data sets classification problems often appear in many practical applications. Support Vector Machine in dealing with this type of issue, the overall classification performance is relatively low. To this end, Veropoulos proposed punishment coefficient using different algorithms can improve the better solution such issues. In addition, can use the Sequential Minimal Optimization algorithm is simple and fast solution to the above optimization problem.)

说明：  矩阵类,自己编写,通过较多考验,符合matlab编程习惯,可处理无穷维矩阵和向量(matrices, their preparation, adoption more tests, with Matlab programming habits can handle infinite dimensional matrix and vector)

说明：  混沌工具function [x,y,z]=rossler(n,level,a,b,c,x0,y0,z0,h)(function [x,y,z]=rossler(n,level,a,b,c,x0,y0,z0,h))

汽车牌照识别中车牌定位问题。车牌定位分为两步进行，首先对车牌进行初定位，对初定位后的车牌图像进行二值化、几何矫正，然后再精确定位车牌区域。同时，在matlab环境下仿真了汽车牌照识别，仿真结果表明，本文算法能很好的识别汽车牌照。(The problem of car license plate location. License plate location is divided into two steps, first at the beginning of vehicle license plate location, license plate on the positioning of the image at the beginning of two, the value of geometric correction, and then the accurate location of the license plate area. At the same time, in the MATLAB simulation environment of the vehicle license plate recognition, the simulation results show that, this algorithm can be a very good car license plate recognition.)

PI tuning for DVR control