登录
首页 » matlab » ToolBox

ToolBox

于 2013-03-25 发布 文件大小:433KB
0 220
下载积分: 1 下载次数: 4

代码说明:

  matlab GA toolbox,由英国谢菲尔大学推出(matlab GA toolbox, designed by University of Sheffield)

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

  • daima
    基于多元线性回归分析的耦合通道参数化建模(Coupled channel parametric modeling based on multiple linear regression analysis)
    2014-11-28 14:59:11下载
    积分:1
  • partial-band-jamming
    this program will help you to simulate partial band jamming on frequency hopping systems using the algorithms of spread spectrum book of ziemer
    2013-08-11 23:31:23下载
    积分:1
  • NK12---1000
    针对NK模型的仿真,有1000次迭代的情况,很有参考价值(For NK model simulation, there are 1000 iterations situation of great reference value)
    2021-01-28 13:28:36下载
    积分:1
  • omp
    用matlab写的一个正交匹配追踪基的函数程序(Written by matlab function program a group of orthogonal matching pursuit)
    2014-01-13 10:41:44下载
    积分:1
  • AR_whiteNosInput
    MATLAB程序编写产生特定功率、有限带宽白噪声,可以做为激励用于振动系统的输入。(MATLAB programming to produce the white noise of a particular power, limited bandwidth, can be used as incentives for vibration system input.)
    2012-11-28 20:53:21下载
    积分:1
  • infaceeyeexpprot
    Robust Eye Detection
    2009-03-23 10:16:58下载
    积分:1
  • regarding-the-burst-error-correction
    burst error correection in coding theory
    2014-10-14 17:10:09下载
    积分:1
  • doa_music
    MUSIC 算法实现,实现窄带信号的超分辨率DOA估计(MUSIC algorithm, the narrowband signal super-resolution DOA Estimation)
    2012-10-13 18:20:30下载
    积分:1
  • SANSHE
    这个程序是杨儒贵研究生教材《高等电磁场理论》中的程序,讲解电磁场后向散射(This procedure is expensive Yang Ru graduate textbook "Advanced Electromagnetic Field Theory" program, to explain electromagnetic backscatter)
    2013-11-11 01:00:09下载
    积分:1
  • RICE-UNIVERSITY
    标准压缩感知(CS)理论决定了可靠的信号恢复是可能给M= O(KLOG(N / K))的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )
    2014-01-06 20:07:54下载
    积分:1
  • 696516资源总数
  • 106913会员总数
  • 8今日下载