boundrycomparison

该matlab代码描述了谱减的语音增强算法(The matlab code spectrum is described by the speech enhancement algorithm)

该程序用于Hilbert谱分解，可分析非平稳和非线的信号(The procedures used for the Hilbert spectral decomposition and analysis of non-stationary and non-linear signal)

这是nmflab的操作指导书，可以当成一个工具箱添加到matlab中，其中包含nmf几种经典的算法，很有指导意义！(This is the operating instructions nmflab can be added as a toolbox to matlab, which contains nmf several classic algorithms, is very instructive!)

本书介绍了低复杂度的MIMO检测算法，并有伪代码，适合初学者(This book is written by Lin_Bai, Jinho_Choia, talking about low complexity MIMO Detection Algorithm)

numerical code for matlab analytical bisec differentiation F FALSEPOS fixedpoint

mk突变点分析； 输入：x是数据序列；sy是起始年份或序号（做图的时候会用到）(mk point mutation analysis Input: x is a data sequence sy is the initial year or serial number (do figure it will be used))

海伦公式的学习程序 , matlab程序(Helen formulas learning program, matlab program)

classification d image avec l algo FCM

说明：  用于优化算法的萤火虫算法，整理和很多资料，很有用的(Optimization algorithm for fireflies, organize and a lot of information, very useful)

测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代，首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层（F1，F2等等）。然后，算法构建一个新的种群St，构建方法是从 F1开始，逐次将各非支配层的解加入到 St，直至 St的大小等于 N，或首次大于 N。假设最后可以接受的非支配层是 L层，那么在 L+ 1 层以及之后的那些解就被丢弃掉了，且 St FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取，选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)