User-Library-SWT-39

《Matlab批量读写Excel转化csv格式并邮件发送》内含三个函数： 1、MyXlsWriteV1.m:在不关闭Excel文件时，将所有数据写入到Excel中，减少读写时间：内含Excel单元格转化函数； 2、xlsx2csv.m把路径path中的xlsx文件批量转换为csv文件 ； 3、LjwSendQQMailV1:发送电子邮件,可含附件。 ("Matlab batch conversion of read and write Excel csv format and send mail" includes three functions: 1, MyXlsWriteV1.m: without closing the Excel file, all the data is written to Excel, reducing Reading time: Embedded Excel cell transformation functions 2, xlsx2csv.m path path in the batch convert xlsx file to csv file 3, LjwSendQQMailV1: sending emails, may contain attachments.)

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. )

基于模型的风力发电机资料，有需要的学习一下吧(Model-based wind turbine data, there is a need to learn about it)

Good book on Kalman filter I have ever seen

本人编写的QC-LDPC码的完整实现，采用阵列校验矩阵，极其简单，适合入门(A easy-to-learn source code of QC-LDPC encoder)

波阈值去噪，比较了软阈值，硬阈值及当今各种阈值计算方法和阈值函数处理方法的性能，通过信噪比及均方差的比较，得出各种的算法的优劣(Wave threshold denoising compared soft threshold and hard threshold and the current calculation method and the various thresholds threshold function processing performance of the method by SNR and mean square deviation of the comparison, the pros and cons of various algorithms)

lambda algorithm to gps attitude determination

MATLAB程序演示线性插值和三次样条插值原理(Interpretation based on linearity and cubic spline on matlab codes)

Nonlinear Control Systems - Lecture 3 - September 1, 2005 Contraction Mapping Principle Consider a map T : X ! X that maps a normed linear space X back into itself. We say T is a contraction mapping if and only if for all x y 2 X there exists  where 0   < 1 and

基于PSO工具箱的函数寻优算法，包括工具箱，mtlab程序的实现(PSO toolbox based on the function optimization algorithm, including the toolbox, MTLAB program to achieve )