My_Matlab

这时用matlab编写的复杂网络的程序。里面有三个文件。分别是ba模型及子程序，以及小世界模型的源代码(At this time written in complex networks using matlab programs. Inside there are three files. Are ba model and subroutines, as well as small-world model of the source code)

这是一个基于卡尔曼滤波的GPS跟踪微弱信号的文章！(This is a Kalman filter-based weak signal tracking GPS article!)

这是对图像进行增强处理，可以用MATLAB运行，需要的可以拿去参考(This is the image enhancement process, you can run with MATLAB, you can take the required reference)

神经网络ANN基于matlab的分类程序(Matlab neural network ANN-based classification procedure)

说明：  粒子滤波代码，是用MATLAB实现的,可以参考(Particle filter code is the use of MATLAB to achieve, can refer to)

基于MATLAB/xPC构建的一套CAN总线实时数据采集系统设计。(A MATLAB/xPC design used for real-time data acquisition system. )

Speed-sensorless Direct Torque Control for Asynchronous Machine Based on Extended Kalman Filter

matlab基本术语学习，对初学者有帮助(matlab is an important tool for FIR filter design)

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates 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.)

krig插值的matlab源码，适用于地学类(krig interpolation matlab source)