登录
首页 » matlab » simulink_tutorial

simulink_tutorial

于 2011-09-01 发布 文件大小:281KB
0 125
下载积分: 1 下载次数: 3

代码说明:

  matlab simulnk tutorial for engineers

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

  • final
    matlab GUI for a water level detector using the computer s serial port
    2013-08-09 16:24:26下载
    积分:1
  • ROUGH-SET
    粗糙集属性约简相关论文,感觉不错,用来分享一下(Rough set attribute reduction related papers, I feel good, to share)
    2013-11-01 13:47:14下载
    积分:1
  • LabviewMatlab
    Matlab和Labview混合编程,可以演示信号的白噪声添加和滤波,以及时域和傅立叶变换后的频域波形(Matlab and Labview mixed programming, you can demo the white noise signal add and filtering, as well as the time-domain and Fourier transformed frequency domain waveform)
    2008-12-18 16:15:46下载
    积分:1
  • Matlab
    Mtlab教程希望对大家有用~~~~~~~~·(Mtlab tutorial you want to be useful ~~~~~~~~·)
    2010-02-06 19:29:21下载
    积分:1
  • Tracking_Cars_Using_Optical_Flow
    Tracking_Cars_Using_Optical_Flow. It use Optical Flow method to detect and tract cars in video. Using Matlav Vision toolbox, may be useful for those who want to master this method.
    2013-04-05 22:58:13下载
    积分:1
  • matlanb3
    PV Array matlab file good for basisc
    2013-12-09 23:07:23下载
    积分:1
  • SpeechAddNoise_matlab
    noisegen.m:生成白噪声并按照指定信噪比对语音进行加噪; add_noisem.m:使用输入的噪音按照指定信噪比对语音进加噪; SNR_singlech.m:输入纯净语音和加噪后的语音,计算其信噪比; my_add_noise.m:调用上述函数进行加噪操作;(noisegen.m: white noise generated by the specified signal to noise ratio of the speech plus noise add_noisem.m: use the specified input noise into the signal to noise ratio of the speech plus noise SNR_singlech.m: pure voice input and processing after the noise voice, calculate the signal to noise ratio my_add_noise.m: call the above functions plus noise operation )
    2016-08-05 10:19:22下载
    积分:1
  • MATLAB
    说明:  回声状态网络模型算法实现,回归算法采用脊回归算法(Esn model algorithm implementation)
    2019-08-20 17:18:52下载
    积分:1
  • work2
    09年cumcm B题程序,统计出住院信息,数值模拟等, 有一定价值(the progress of CUMCM,B,2009)
    2010-01-22 10:46:50下载
    积分:1
  • Wind-Turbine-System-Identification
    Currently systems and dynamics research is ongoing in modeling and identification primarily for controller design, state estimation and fault detection/diagnosis. With accurate and precise system model identification, no aspect from controls to fault detection should have to employ unreasonable architectures/strategies to lower production cost and to expand the operational life of the turbine
    2012-07-01 23:11:41下载
    积分:1
  • 696518资源总数
  • 105540会员总数
  • 37今日下载