noise

多旅行商问题matlab程序，可能比较简单，大家交流交流(mtsp matlab)

matlab格式的布谷鸟搜索算法（cuckoo search）程序(matlab format Cuckoo search (cuckoo search) program)

遗传算法（Genetic Algorithms）在matlab中的应用(Genetic Algorithms (Genetic Algorithms) applied in matlab)

adding noise and image registration

实验目的：用Matlab实现分支定界法求解整数线性规划问题。 实验内容： 用分支定界法求下面的线性整数规划问题的最优解： (Experiment Objective: Matlab to achieve branch and bound method for solving integer linear programming problem. Experiment content: With the branch and bound method seeking the following linear integer programming problem of the optimal solution: )

对给定图像裁剪为384×384，对其分别进行傅立叶等变换 。。。——bianhuan.m(For a given image cut to 384 × 384, so its Fourier transform respectively. . .- Bianhuan. M)

In this experiment you will simulate a symmetric binary communication system in which the probability that a bit is corrupted is p, that is P(receiving 0|1 sent) = P(receiving 1|0 sent) = p. To actually perform this experiment you will have to first develop a random number generator that produces binary random numbers.

This generates a PSS sequence in LTE downlink. This can be used as a test vector reference for cell search procedure

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

偏微分方程的MATLAB解法，很好的电子书籍，很适合自学(MATLAB Solution of Partial Differential Equations, good e-books, it is suitable for self-)