videotime

本文主要讲的是图像变化中所使用的小波变换的一些基本知识(This article is primarily concerned with changing the image used in some of the basics of wavelet transform)

弗洛伊德算法求图中每两点最短距离，图论经典算法，数学建模(Floyd Algorithm for Finding the shortest distance two points in each chart, graph theory, the classical algorithm, mathematical modeling)

Communication Toolbox For Use with MATLAB v2

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

Monte carlo simulation of an M/M/1 queue, with plots of the convergence of average waiting time, queue length, etc.

改进的与之方法很好很强大，包括1000个信号的阈值分段函数，软阈值。(Improved contrast method is very very strong, including the 1000 signal threshold segmentation function, soft threshold.)

simulink下使用的关于通讯系统的实例，例如调制解调，看频谱，采样等。(simulink to use on an instance of communication systems, such as modulation and demodulation, see the spectrum, sampling and so on.)

BDS检验的matlab实现，检验样本是否为独立同分布的数据(BDS test matlab implementation, testing whether the sample is independent and identically distributed data)

Simulated annealing (SA) is a generic probabilistic metaheuristic for the global optimization problem of applied mathematics, namely locating a good approximation to the global optimum of a given function in a large search space. It is often used when the search space is discrete (e.g., all tours that visit a given set of cities). For certain problems, simulated annealing may be more effective than exhaustive enumeration — provided that the goal is merely to find an acceptably good solution in a fixed amount of time, rather than the best possible solution.

卷积编码和译码全过程的MATLAB源代码，已通过实验(Convolutional coding and decoding of the entire process of MATLAB source code, has passed the experimental)