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跳频图案是跳频通信成功的基础，本代码计算了r=15时的m序列优选对，通过找到m序列的特征相位，模2得到了平衡Gold序列(Frequency hopping patterns is fundamental to the success of frequency-hopping communication, the code calculated the r = 15 when m sequence optimization right, by finding the characteristics of m sequence phase, mode 2 has been balanced Gold sequences)

产生随机导频信号的程序 能利用此基本的来帮助进行复杂的编程(Generate random pilot signal)

Matlab plot functions for Pscad

说明：  计算方法hibbert矩阵程序,计算方法上机时间第六题 关于病态矩阵的(Matrix calculation procedures hibbert)

This is my power electronic lecture note on diode rectification.

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

如题，是层次聚类法的相关优秀论文集，里面有多个文章(Such as the title, is the outstanding level of clustering related proceedings, there are several articles)

gradient of random values in matlab

一个利用专家PID算法进行控制的matlab仿真程序(an expert PID control algorithm for the simulation program Matlab)

样条插值的Matlab实现,使用第一类和第二类边值条件进行插值，有图形实例(spline interpolation)