The Booth Tolls for Thee

matlab codee for dopp

SPSO基本算法，有详细的解释，适用于初学者！(The SPSO basic algorithm, detailed explanations, suitable for beginners!)

网上能下载的本书的中文版均缺少89和97两页，又此书已绝版，本人只好从英文完整版中摘录缺少的内容，分别补全了这两页的内容。注：英文完整版也已经作为PDF的附件加了进去。 我也上传到了IASK，不能下载的朋友可以去搜索“(中文版)支持向量机导论.rar”(Internet can download the Chinese version of the book were missing two 89 and 97, and the book is out of print, I had to excerpts missing content from the English full version, respectively, to complement the content of the two pages. Note: The full version of English has also been added as an attachment inside a PDF. I also uploaded to the IASK, can not download friends can go search for "(Chinese version) Introduction to Support Vector Machines. Rar")

Matlab codes for face matching using fisher faces approach.

OFDM峰均比文章，里面包括各种算法的相关文章(OFDM PAPR article, which includes a variety of algorithms related articles)

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. )

根据归一化后的原始数据曲线，进行导数变换，然后运用自组织神经网络进行藻种识别(According to the normalized data,we use the Differential switch,and then identify the HABs using the SOM.)

根据sift算法经典文章得到的matlab算法程序，可以直接运行。(According to the the sift algorithm classic article Matlab algorithm can be run directly.)

这是有关matlab 学习的一些技巧和程序代码的编写，其中有SIMULINK和matlab程序两部分(matlab study)

图像傅里叶变换，matlab模拟透镜成像过程，可看到频域信息(fft2 optical imaging progress)