bhaswatiml

说明：  利用MATLAB实现的产生M序列的程序及自动产生本原多项式的程序(MATLAB achieved using M sequences generated automatically generated procedures and procedures for primitive polynomial)

泊松过程检测和估计。MATLAB。有详细的注释。(poission process.by MATLAB.)

介绍一种有关基于信号统计特性的频谱检测方法(statistics charcater spectrum detection)

有认知无线电CR的论文和Matlab代码，进行传统频谱感知算法的能量检测实现与SVM分类算法实现，两个进行对比检测概率性能，还有生成SVM三种核函数的分类检测图与统计三个错误率，得出SVM算法优于能量检测算法(Cognitive radio CR papers and Matlab code, perform traditional spectrum sensing algorithms to achieve energy detection and SVM classification algorithm, two compare the probability of detection performance, as well as generate three types of cores SVM classification detection function diagram with three statistics error rate, obtained SVM algorithm is better than energy detection algorithm)

采用matlab里面的线性回归函数regress进行的分析，还画出了三维图。(Based on matlab inside of linear regression function regress analysis and drew out the 3d map.)

equivalent function for matlab - min function

pos算法，微粒群优化算法解决函数优化问题，程序就是解决函数优化问题。(pos algorithm, particle swarm optimization algorithm to solve the function optimization problem, the procedure is to solve function optimization problems.)

system identification, m document based on idetification

This script generates a Mackey-Glass time series using the 4th order Runge-Kutta method. The code is a straighforward translation in Matlab of C source code provided by Roger Jang

SCE algoritm in matlab