MultiHedgePeriodTest

基于matlab软件下的V-BLAST程序(Matlab software for V-BLAST program)

此为一篇介绍mcmc方法的外文文献 非常适合刚刚接触mcmc方法的初学者(This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emphasis will be placed on one MCMC method known as the Gibbs sampler. The Gibbs sampler permits one to simulate realizations from complicated stochastic models in high dimensions by making use of the model’s associated full conditional distributions, which will generally have a much simpler and more manageable form. In its most extreme version, the Gibbs sampler reduces the analysis of a complicated multivariate stochastic model to the consideration of that model’s associated univariate full conditional distributions.)

基于图像处理的HOG特征提取，可根据参数设置来确定自己设定的HOG特征(determined according to its own set of parameter settings)

an introduction to dynamic meterology chapter 5-9 chapter matlab所有代码 气象专业经典资料(an introduction to dynamic meterology chapter 5-9 matlab code)

将一个512×512的lena.bmp图像进行DCT变换，对得到的DCT系数按8×8块进行分层（分三层），重组填充得到新的系数矩阵，结果发现原图像的能量集中在了新图像的左上角低频部分。(The lena.bmp an image of 512 × 512 is subjected to DCT transform, the DCT coefficients obtained by layering 8 × 8 block (of three), to obtain a new recombinant filling coefficient matrix, the energy of the original image is found concentrated in upper left corner of the low-frequency part of the new image.)

simulation of one stage DIFM in matlab

pls算法集合，包含表格数据读取，过程变量降维、潜变量的投影方式(pls、pca algorithm)

5节点潮流计算，简单方便实用，可以任意改写(5-node power flow calculation, simple, convenient and practical, can be rewritten arbitrarily)

ROSSLER方程的混沌时间序列相空间重构程序(Equation ROSSLER chaotic time series phase space reconstruction procedure)

用于对IRIS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。(IRIS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of classifiers, pattern recognition part of the operating code.)