Bai6-Nhapxuat

EMD/HHT是一种处理非线性非稳态信号的经典算法，自98年提出以来已经获得广泛的使用，作者huang曾经因次获得NASA的最高奖。(EMD/HHT is a deal with the nonlinear non-stationary signals classical algorithm, since 98 has been raised since the widespread use huang had dimensionless author was NASA's highest award.)

Implementation of FxLMS algorithm for a single channel feed-forward active noise control system.

“RADAR SIGNAL ANALYSIS AND PROCESSING USING MATLAB”。matlab对雷达信号的分析与处理（英文版），是学习处理雷达信号的入门教材。主要内容有雷达系统原理介绍和常用matlab函数。(" RADAR SIGNAL ANALYSIS AND PROCESSING USING MATLAB" . is a primary book of radar signal processing. The main contents is introduction of radar systems and some matlab functions.)

doppler effect simulation in matlab

matlab 运用PCA算法对图像降维级图像重建代码(matlab image using PCA dimensionality reduction algorithm for image reconstruction code level)

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. (This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. )

基于邻域嵌入式的降维 充分利用matlab矩阵的功能 程序简捷(Neighborhood-based embedded full advantage of dimension reduction procedures for simple matlab function matrix)

The code is LOW ENERGY ADAPTIVE CLUSTERING HIERARCHY(LEACH)protocol for wireless sensor network. it is an energy efficient protocol.

利用主元分析、T2统计图和贡献率图方法对TE仿真故障1数据进行故障检测和诊断，贡献率图是变量对超出T2控制限的失控得分进行贡献率计算(matlab program, using principal component analysis, T2 charts and maps of the contribution rate of a fault on the TE simulation data for fault detection and diagnosis, the contribution rate is variable figure T2 control limits in excess of runaway scores calculated contribution rate)

Fuzzy c means code for doing clustering.