avalon_mm_bridges

说明：  使用Matlab编写的逆谐波程序。该程序对于不同的参数进行了实验。当图像噪声不同时，选用不同的参数。参数的正确选择很重要。本程序给出了不同噪声比较适合的参数选择(The use of Matlab procedures for the preparation of the inverse harmonic. The program parameters for different experiments. When the image noise is not at the same time, choosing different parameters. Correct choice of parameters is very important. This procedure gives more suitable for different noise parameters)

是希尔伯特黄变换的中文翻译，里面用中文详细介绍了希尔伯特黄变换的原理，希望大家多多下载(chinese vesion hht)

灰色预测模型，可用于预测未来能源消费的需求量。(Gray prediction model can be used to predict future demand for energy consumption.)

多目标粒子群算法源代码，有很好的学习参考价值，可供分析粒子群算法的具体实现过程

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

在网友的提供的程序基础上，经过修改，反距离加权插值法可以使用的，里面有的联系方式，可以留言(On the basis of the program provided by netizens, after modification, the inverse distance weighted interpolation method can be used. Some of the contact information can be left a message.)

这是一本介绍MATLAB的教程，里面包含教程中所涉及到的所有源码。(Introduction This is a MATLAB-tutorial, which contains tutorial involved in all the source code.)

it is binary ga algorithm in matlab

程序设计 MATLAB 程序 设计 基础(Program design based on MATLAB programming)

cdma系统的多用户检测技术，基于matlab(cdma system, multi-user detection techniques, based on matlab )