登录
首页 » matlab » pll_dq

pll_dq

于 2013-04-10 发布 文件大小:10KB
0 215
下载积分: 1 下载次数: 22

代码说明:

  Implementation of DQ theory based PLL

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

  • znk_slop_express
    由zernike多项式通解求各项具体表达式。(Solutions by zernike polynomial through the specific expression.)
    2012-06-04 22:27:32下载
    积分:1
  • Generator_COPT7
    gcopt of 17 in reliability test system
    2011-10-31 20:50:00下载
    积分:1
  • MR
    说明:  非性多变量系统递归辨识算法,同时, 也对这些算法的估计一致性问题进行了讨论,具有效果还可以(Recurrent identification algorithms for non-linear multivariable systems are discussed. The estimation consistency of these algorithms is also discussed. The results show that the algorithm is effective and can be used to identify non-linear multivariable systems.)
    2018-10-06 15:55:00下载
    积分:1
  • power_xfosaturable
    功率电子领域matlab仿真文件,已经验证过,程序运行正常(Power electronics field matlab simulation file, has already been verified, the normal operating procedures)
    2013-08-26 22:24:13下载
    积分:1
  • sr1
    使用对称秩1算法求解无约束问题 输入包括初始点,目标函数和梯度 输出包括最优点最优解和迭代次数(Rank 1 using symmetric algorithms for unconstrained problems including initial entry points, the objective function and the gradient of the output, including the most optimal solution and the advantages of iterations)
    2013-12-08 15:02:05下载
    积分:1
  • face_recognition
    face recognition through matlab
    2009-03-14 00:21:50下载
    积分:1
  • UltraSV3pwm7Area6
    使用Matlab的m语言编写的SVPWM三电平仿真程序,在simulink环境下运行(M using the Matlab language of three-level SVPWM simulation program, run in the simulink environment)
    2020-11-02 11:49:53下载
    积分:1
  • grnn
    广义神经网络在预测中有广泛的应用,参数设置简单,值得学习。(Generalized neural network is widely used in the forecast, the parameter setting is simple, it is worth learning.)
    2014-10-27 20:46:22下载
    积分:1
  • GA-SVM-FS
    Genetic algorithm feature selection by using SVM
    2013-11-11 22:38:16下载
    积分:1
  • eqberdemo
    展示了线性、DFE、MLSE均衡器的信噪比性能,并通过蒙特卡罗模拟信道估计结果确定。(This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. )
    2014-02-10 17:47:36下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载