登录
首页 » matlab » duixiangbianshi

duixiangbianshi

于 2008-12-31 发布 文件大小:10KB
0 200
下载积分: 1 下载次数: 22

代码说明:

  本程序用matlab中的simulink对对象进行辨识,利用了S函数。(This procedure in simulink with matlab for object recognition, using the S function.)

文件列表:

对象辨识
........\bianship.mdl
........\copy.asv

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

  • Clustering_Coefficient
    根据邻接矩阵计算网络的聚类系数。输入为邻接矩阵输出为整个网络的聚类系数(cluster coefficient)
    2021-04-19 15:18:51下载
    积分:1
  • Kfisher-mode
    Kfisher算法基于MATLABKfisher算法基于MATLABKfisher算法基于MATLAB(Kfisher algorithm is based on MATLABKfisher algorithm is based on MATLABKfisher algorithm is based on MATLAB)
    2011-05-17 09:39:04下载
    积分:1
  • Multivariable-Frequency-Domain-Toolbox
    Multivariable Frequency Domain Toolbox
    2013-12-04 01:37:16下载
    积分:1
  • huice2
    matlab量化择时模型回测代码,matlab量化择时模型回测代码(Optional model to quantify when backtesting matlab code)
    2014-02-26 19:31:09下载
    积分:1
  • PV_System
    To keep overall output power per unit cost low, the grid-connected converters should be able to extract the maximum available power from the PV arrays. Since the PV array characteristic is highly nonlinear, maximum power point tracking (MPPT) of the PV arrays becomes rather challenging.
    2010-07-20 21:06:47下载
    积分:1
  • Stator_Voltage_Control_of_Three_Phase_Induction_M
    stator voltage control of three phase induction motor
    2013-02-24 12:01:15下载
    积分:1
  • Space-TimeCodesandMIMSystems
    Space-Time Codes and MIMO Systems书籍及书籍内matlab代码程序,程序非常好,对研究MIMO系统的研究人员很有用(Space-Time Codes and MIMO Systems book and matlab code)
    2010-10-21 17:19:54下载
    积分:1
  • state_estimator
    State estimater matlab file
    2010-01-15 22:27:00下载
    积分:1
  • suoyou-leida-ziliao
    这是整套的雷达资料哦。。作者方面学习的人可以参考(This is a complete set of radar data oh.. The authors study can reference )
    2013-01-07 15:13:59下载
    积分:1
  • PCA
    PCA算法。PCA的目的是找到能够分离出最大方差的方向,所以首先求原来所有数据三个维度上的协方差,然后求这个协方差的特征值,最大特征值为第一个方向,从此以此类推。(PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covariance, and then find the eigenvalues ​ ​ of the covariance, the biggest feature is the first in one direction, from and so on.)
    2011-05-15 00:25:49下载
    积分:1
  • 696518资源总数
  • 106222会员总数
  • 14今日下载