equalizition

SkewT分布是近年来得到广泛使用的一种参数化分布。区别于传统的正太分布、学生-t分布，SkewT分布除了具有厚伟特征之外，还引入了偏斜特征。该分布对于金融领域的研究与应用具有十分重要的价值。当然，也是一个重要的统计工具。SkewT分布由Bruce E. Hansen(1994)构造，本源码包括SkewT分布的密度函数、累计概率、随机数生成、理论矩。(SkewT distribution has been widely used recently. Different from traditional Normality and Student-t distribution, SkewT parameterizes both tail-thickness and skewness. SkewT is valuable to financial applications and studies, and other statistic tool. SkewT is firstly introduced by Bruce E. Hansen(1994). This package includes M files on the density of SkewT, CDF, random number generator and theoretical moments of SkewT.)

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. )

说明：  根据moutaintop空时自适应数据编写的最优STAP方法(According to data prepared moutaintop space-time adaptive optimal space-time adaptive processing)

说明：  空间十阶时间二阶一维情况下由差分系数控制的变网格算法(Space 10 order time order one-dimensional case by the differential coefficient of variable grid algorithm)

用matlab对离散系统的时域分析，得到其特性曲线(Using matlab for time-domain analysis of discrete systems, by their characteristic)

基于轮廓波的多聚焦图像融合，采用MATLAB语言(image fusion by contourlet)

FSK的SIMULINK仿真代码，包括调制解调与频分复用(FSK simulink modulation and demodulation)

This program simultes the BER performance with a single and multiple users

Autoregressive cholesky model for correlated links observed in athlete monitoring scenario

This script creates a diagram showing OFDM signals in the time domain. This shows that each of the carriers in the signal have an integer number of cycles making them orthogonal.