Simulation-Of-a-Cognitive-Radio-System-In-Matlab

that is so important code of matlab in back propagation !

Helmholtz方程的有限元解法，可以任意加密网格剖分，求解结果用图像显示.(Helmholtz equation finite element method, you can encrypt arbitrary mesh, the image display solution results.)

CCISP考试指南与导读 CISSP STUDY NOTES FROM CISSP PREP GUIDE 1 DOMAIN 1 – SECURITY MANAGEMENT PRACTICES 2 DOMAIN 2 – ACCESS CONTROL SYSTEMS 7 DOMAIN 3 – TELECOM AND NETWORK SECURITY 13 DOMAIN 4 – CRYPTOGRAPHY 34 DOMAIN 5 – SECURITY ARCHITECTURE AND MODELS 46 DOMAIN 6 – OPERATIONS SECURITY 56 DOMAIN 7 – APPLICATIONS AND SYSTEM DEVELOPMENT 63 DOMAIN 8 – BUSINESS CONTINUITY AND DISASTER RECOVERY PLANNING 70 DOMAIN 9 – LAW, INVESTIGATION AND ETHICS 78 DOMAIN 10 – PHYSICAL SECURITY 87(CCISP test guidelines and guidance CISSP STUDY NOTES FROM CISSP PREP GUIDE 1DOMAIN 1- SECURITY MANAGEMENT PRACTICES 2DOMAIN 2- ACCESS CONTROL SYSTEMS 7DOMAIN 3- TELECOM AND NETWORK SECURITY 13DOMAIN 4- CRYPTOGRAPHY 34DOMAIN 5- SECURITY ARCHITECTURE AND MODELS 46DOMAIN 6- OPERATIONS SECURITY 56DOMAIN 7-- APPLICATIONS AND SYSTEM DEVELOPMENT 63DOMAIN 8- BUSINESS CONTINUITY AND DISASTER RECOVERY PLANNING 70DOMAIN 9- LAW, INVESTIGATION AND ETHICS 78DOMAIN 10- PHYSICAL SECURITY 87)

Physical Review A 76 043833 所有关键程序(Physical Review A 76 043833 )

一份麻省理工大学1999年的信号与系统的matlab教程简介,希望对刚学习matlab的朋友管用(A Massachusetts Institute of Technology in 1999 signals and systems matlab tutorial introduction to just want to learn useful matlab friend)

刘金坤先进PID控制第二版第三章的仿真程序(Advanced PID control刘金坤Chapter III of the second edition of the simulation program)

本matlab程序可以对列车称重仪的数据进行分析处理，是一个hilbert-huang变换的很好例子！(The matlab program can train weighing instrument of data analysis and processing, is a hilbert-huang transform a good example!)

应用自适应的干扰对消法去除高斯白噪声，程序中给出两种相关噪声产生的方法，第一种只有一个噪声是随机产生的，第二种两个噪声都是随机产生的。程序中给出了去噪后信噪比和均方差的增益。(Application of adaptive interference cancellation method to remove Gaussian white noise, the procedure given in the relevant noise generated by the two methods, first there is only one noise is randomly generated, the second two are randomly generated noise. Denoising process is given after the signal to noise ratio and mean square deviation of the gain.)

A Multiset implementation with predictable iteration order.

Example in comparision between FDM and FEM in 1D problem