A practical method for calculating largest Lyapunov

合成孔径雷达（SAR）的点目标回波仿真——rd算法(Synthetic aperture radar (SAR) point target echo simulation- rd algorithm)

由一系列三维的点，通过调用函数进行插值，形成更光滑的曲面(By a series of three-dimensional points by calling the function interpolation, a more smooth surface)

这是采用场磨式电的场仪在雷电监测预警系统中的研究与应用，很有参考意义。(This is the use of field mill type electric field instrument in lightning monitoring and warning system in the research and application, great reference significance.)

非常详细的自适应信道均衡程序，设计了一种用于通信信道的自适应均衡器，提供了两种均衡方法，并进行了比较。(Very detailed adaptive channel equalization process, an adaptive equalizer for a communication channel, the two equalization method, and compared.)

【实例简介】

SAI图像插值算法 可插值uint8 uint16 图像(SAI image interpolation algorithm can interpolate uint8 uint16 image)

现在国内众多系统中都采用了memcache集群，用magent作为memcache集群代理起着至关重要的作用。(Now many domestic systems have adopted the memcache clusters, with magent memcache cluster plays a crucial role as a proxy.)

1. Synthetic Control Chart Time Series合成控制图时间序列 a) 数据集描述：该数据集包含600个实例，属性个数为6，已知分为6类。 b) 参数选择：  聚类数为6  加权指数m=2  最大迭代次数为1000，隶属度最小变化量1e-5 (1. Synthetic Control Chart Time Series Synthetic Control Chart Time sequence A) data set description: the data set contains 600 examples, the number of attributes 6, known is divided into 6 class. B) the choice of parameters: N cluster number six N weighted index m = 2 N maximum iterating times for 1000, membership minimum variation 1 e-5 )

毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了hjcWjN算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 TEOYkcT， 3 测试 4， 输出结果。 (Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combining hjcWjN algorithms. In the case of a given temp.wav audio file, voice different people different lengths of time were identified. Real-time recognition and text-independent speaker verification automatically. Use steps include: 1 training, 2 TEOYkcT , 3 test 4, the output result. )

利用RBF神经网络实现混沌预测，并结合matlab进行仿真，较好实现其功能-Realize the use of RBF neural network prediction of chaos, combined with matlab simulation, better realize its function