登录
首页 » matlab » SEI

SEI

于 2014-06-25 发布 文件大小:1KB
0 186
下载积分: 1 下载次数: 6

代码说明:

  这是一个超指数迭代均衡算法程序,经测试可以运行(This is a super exponential Iterative Equalization Algorithm procedures, have been tested and can run)

文件列表:

SEI.m,2661,2013-07-27

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • fx_decon
    This code is in geophysics field.
    2009-11-08 19:58:25下载
    积分:1
  • PDC-analysis
    利用偏直接一致(PDC)指数分析同步采集的脑电信号和肌电信号之间的信息传递方向 (Analysis the information transfer direction btween synchronous EEG and EMG )
    2013-03-12 19:23:42下载
    积分:1
  • 123
    聚类方法在雷达信号分选中的应用,聚类方法在雷达信号分选中的应用(Clustering method selected in the application of radar signal, clustering method selected in the application of radar signal)
    2011-11-21 22:40:02下载
    积分:1
  • EMAlgorithm
    EM算法的详细介绍(含PDF文件)及其matlab实现(EM algorithm is a detailed description (including PDF files) and its implementation matlab)
    2009-12-31 04:20:01下载
    积分:1
  • jiyuduanshinengliangduandianjiace
    基于短时能量的基音短点检测,有基于短时能量的计算方法、短时过零率,有matlab程序,同事对应word讲解,算法原理图,和算法详细介绍。(Short pitch detection based on short-term energy, based on the calculation method of the short-time energy, short-time zero-crossing rate, matlab program, colleagues corresponding word on the schematic diagram of the algorithm, and the algorithm described in detail.)
    2013-05-20 20:42:37下载
    积分:1
  • K
    说明:  三角形,四边形 空间体单元等的刚度矩阵的组装,应力求解,有限元分析,该m文件可直接被matlab调用(Assemble the stiffness matrix of triangle, quadrilateral space element, stress solution, finite element analysis, the M file can be directly called by MATLAB)
    2021-02-26 18:18:33下载
    积分:1
  • OQPSK_Simu
    QPSK SIMULINK调制解调仿真绝对能运行(Modulation and Demodulation QPSK SIMULINK)
    2010-12-04 19:38:03下载
    积分:1
  • Tracking-control-of-a-mobile-robot-with-kinematic
    Tracking control of a mobile robot with kinematic and dynamic constraints
    2013-01-01 14:07:37下载
    积分:1
  • erziyoudumoxing
    eps的东西,做得挺好的 eps的东西,做得挺好的(eps thing, doing something very good eps, doing very good)
    2011-10-08 08:31:13下载
    积分:1
  • NSGA
    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).)
    2020-02-13 19:30:43下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载