3ci

对lena图进行混沌置乱，简单方便。初值选定x=0.5,u=3.7。(Lena diagram of the chaotic scrambling, easy and convenient. Initial value of the selected x = 0.5, u = 3.7.)

MATLAB实MATLAB实现跳频系统 MATLAB实现跳频系统 MATLAB实现跳频系统 (MATLAB program for FH)

Matlab教程第七章案例，面板数据分析、计量(Matlab Guide Chapter VII of the case, panel data analysis, measurement)

本程序主要通过EMD和hilbert求IMF，作出HHT归一化能量谱图（三维图），边际谱图和瞬时能量图，并做完备性验证(The program primarily through EMD and hilbert seek IMF, to HHT normalized energy spectrum (three-dimensional map), the marginal spectrum and the instantaneous energy map, and do a complete validation)

MATLAB环境下实现butterworth 低通滤波器仿真(MATLAB butterworth )

MATLAB编写的ARMA建模程序，可实现UI打开EXCEL文件，自动选取合适滞后阶数ARMA建模和任意几期预测。(ARMA modeling program written in MATLAB, enabling the UI Open EXCEL file and automatically selects the appropriate number of lags several of ARMA modeling and forecasting arbitrary.)

随机访问网的性能仿真，附有详细文档和matlab源码(Random access network performance simulation, with detailed documentation and source code matlab)

In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is introduced by using the SVM. The kernel mapping idea is used to derive the non-linear version, Kernel Discriminant via Support Vectors (SVKD). In SVDA, only support vectors are involved to obtain the transformation matrix. Thus, the computational complexity can be greatly reduced for kernel based feature extraction. Experiments carried out on several standard databases show a clear improvement on LDA-based recognition

说明：  quk的博士论文和源代码，关于格子boltzmann方法的综合应用(quk doctoral thesis and the source code, on the comprehensive application of lattice boltzmann method)

一个雷达信号产生模拟器 by matlab(a radar signal generation program)