Sys_identification_adaptive-sim

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. )

用FFT和FIR方法实现MTD处理()

xiao che mo ni, Matlab+Simulink(car control model)

基于maltab的谱分析，信号的频率分析、频谱分析等(Based on spectral analysis maltab, the frequency of the signal analysis, spectrum analysis)

matlab仿真的，功能是实现相关峰值的提取。能够在低信噪比下得到效果较好的相关峰(matlab simulation, feature extraction is to achieve correlation peak. Able to get better low SNR correlation peak)

Matlab Image toolbox example

能够利用该Leslie模型的matlab程序预测人口数量及结构(Able to take advantage of the Leslie model of matlab to predict population quantity and structure)

使用matlab实现遗传算法，内容正确，方法简单(Genetic algorithm matlab code)

说明：  用GP算法解决时间延迟、关联维、延迟窗口，以及他们之间的关系(GP algorithm used to solve the time delay, correlation dimension, delay window, and the relationship between them)

现代通信中跳频信号的识别，主要是matlab的几个程序。(Modern communication frequency hopping signal identification, mainly a few matlab program.)