frtestsystem

Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[ -6.2 -8.3 -5.0 -1.1 1 1.3 2.2 8.5 27.4], in x= [-4 -3 -2 -1 0 1 2 3 4] to interpolate in the xi = − 4 + 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!(Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[-6.2-8.3-5.0-1.1 1 1.3 2.2 8.5 27.4], in x= [-4-3-2-1 0 1 2 3 4] to interpolate in the xi = − 4+ 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!)

THIS FILE CONTAINS IMPORTANCE OF IMAGE PROCESSING

说明：  用matlab实现的fp树。目的是发现频繁项集，但是本代码只是实现了fp树(Fp tree with a matlab implementation. Aim is to discover frequent itemsets, but only realized the fp tree code)

说明：  （蒙特卡洛方法） 求出四分之一圆占正方形的比例。随机投点P(x,y)于正方形，π/4的近似值为落在四分之一圆内的点数与总投点数的比值。随机投点次数分别为10000次和50000次，计算π的近似值。 ((Monte Carlo method) are obtained accounting for a quarter of a round square ratio. Voted random point P (x, y) in the square, π/4 for the fall quarter of the approximation of the points won and the ratio of the total vote points. The number of random points, respectively, voted for the 10000 and 50000 times, the calculation of the approximation of π.)

用matlab编程实现纯aloha算法和时隙aloha算法吞吐量的对比(Matlab programming with pure aloha aloha algorithm algorithm and the throughput comparison of slot)

针对基本无线传感器网络DV-Hop定位算法中，计算平均跳距时产生偏小误差的原因，提出了基于平均跳距修正的DV-Hop算法。改进算法中，引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子，并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证，结果表明，改进后的 DV-Hop 算法有效降低了未知节点的定位误差，是一种可行的无线传感器网络节点定位解决方案。(DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.)

计算CN，即共同邻居的代码，用于链路预测，属于根据网络的局部特征进行预测(Calculating CN, i.e. common neighbors code for link prediction, according to the local characteristics of the network belonging to predict)

此文档为word文档，给出了F-score的数学计算公式，并将公式用MATLAB写成程序(This document is a word document, gives the F-score mathematical formulation, and the MATLAB program of computing F-score.)

一个自适应pid，用matlab来实现，可以在此基础上进行修改成自己的可用程序(An adaptive pid, using matlab to realize, on this basis can be modified into its own procedures available)

Algorithm of Learning Implicit Transfer for Person Re-identification (Learning Implicit Transfer for Person Re-identification)