登录
首页 » matlab » motor

motor

于 2013-11-01 发布 文件大小:434KB
0 125
下载积分: 1 下载次数: 52

代码说明:

  几个异步电机仿真模型,启动,翻转,调速等(Several induction motor simulation models, starting, turning, speed, etc.)

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

  • sift-match
    SIFT特征点检测,配准、匹配,代码经验证可用(sift match ransac appendimages)
    2013-01-14 20:28:29下载
    积分:1
  • room-impulse-reponse
    room impulse reponse
    2011-09-20 05:43:15下载
    积分:1
  • StudyPofPCMAC-PIDPControllerPBasedPonPFPGA
    cmac+code+code cmac in matlab
    2013-05-18 17:48:13下载
    积分:1
  • MATLAB
    Grey prediction matlab program code灰色预测matlab程序(Grey prediction matlab program code)
    2013-05-21 22:16:57下载
    积分:1
  • send
    伪随机码,运用语音发射,噪声为发射信号,音乐为噪声信号。(Pseudo-random code, the use of voice-launch, launch signal noise, music for the noise signal.)
    2009-04-22 19:39:02下载
    积分:1
  • diff_besselj_root
    matlab 中求besselj导数的根,可以根据需要,改变输入值得到不同的根 ( seek besselj derivative of the root in matlab. you may change the input to found the different answer.)
    2010-01-29 18:04:29下载
    积分:1
  • test
    粗糙集约简的例子,求正域、生成未经处理的区分矩阵、对区分矩阵进行化简、求核、对已经处理过的区分矩阵进行属性约简(Rough intensive Jane, for example, generating positive field of untreated discernibility matrix, to distinguish matrix of reduction, for nuclear, to have treated discernibility matrix for attribute reduction )
    2011-09-06 10:31:42下载
    积分:1
  • chafen
    分形维数计算,差分盒计数法,编译过,可以用(chafen)
    2020-12-22 21:29:09下载
    积分:1
  • DigitalImageProcessing-3
    Digital Image Processing Using Matlab Additional Material
    2011-05-27 22:32:16下载
    积分:1
  • kPCA_v2.0
    Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.
    2020-09-20 10:47:53下载
    积分:1
  • 696518资源总数
  • 104837会员总数
  • 36今日下载