matlab4

perform transformation to time frequency domain

一个完整的EMD分解程序，希望能够帮助那些需要EMD的人(EMD decomposition of a complete program, hoping to help those who need EMD)

说明：  一个用matlab编写的粒子群优化算法源程序(A written using matlab source PSO)

channel coding for digital communication

bayes分类，matlab实现。可以实现数字的识别(matlab guiyi)

matlab快速检索手册，非常实用简洁，涵盖了matlab的所有基本函数(Quick Search matlab manual is very useful concise, covering all the basic functions matlab)

With this source you can use your Hantek oscilloscope with matlab.

这是一个Knn分类算法的Python实现，Matlab中有类似的函数(knn classifer)

海杂波服从K分布，K杂波在matlab中仿真，分析雷达性能(Sea clutter obeys K distribution, K clutter in matlab simulation, analysis of radar performance)

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)