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SRM
project on SRM drive system
The file is a Matlab m-file with all of the input parameters for the two Simulink models and It must be run prior to running the Simulink models to create the input parameters in the Matlab workspace. Because it is a Matlab m-file, it can be opened to change model input parameters. Once you have changed a parameter in you must run it again before you run the Simulink model to update the Matlab workspace and have the change take effect. The file is a Matlab m-file with all of the input parameters for the Simulink model.
- 2013-08-03 08:35:11下载
- 积分:1
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fuhuajifen
复化梯形积分和抛物线积分的源代码,可以直接加以应用(Re-integration of trapezoidal and parabolic points of the source code, can be applied directly)
- 2011-11-22 22:44:51下载
- 积分:1
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findpeaks.m
finding peak or reversing point from up trend to down trend and you can switch to find trough by findpeak(-x)
- 2011-12-15 12:51:06下载
- 积分:1
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fuzzy
说明: 这个MATLAB程序为模糊PID控制,模型搭建正确,供大家参考(This matlab program for fuzzy PID control, the model is built correctly, for your reference)
- 2019-11-13 12:01:49下载
- 积分:1
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kolmo
kolmogrov test for logistic map using matlab
- 2012-04-22 21:23:27下载
- 积分:1
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stm32-foc-firwmare-libraries-v2.0
永磁同步电机矢量控制程序,位置与角度判断可通过霍尔位置传感器,编码器得到,其中也含有无位置传感器程序(Permanent magnet synchronous motor vector control program, to determine the position and angle through the Hall position sensors, encoders get, which also contains the program without position sensors)
- 2014-02-20 09:03:43下载
- 积分:1
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netcheck
海明码发送与接收程序 测试信道的可靠性 可单独设立监听端口(Hamming code to send and receive testing the reliability of channel can be set up to monitor a separate port)
- 2007-12-18 15:02:09下载
- 积分:1
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matlabcommand
MATLAB命令资料,希望对朋友们有所帮助。(err)
- 2007-12-28 22:32:07下载
- 积分:1
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blind_channel_algorithm
small algorith to implement blind channel equilization
- 2010-01-18 11:08:40下载
- 积分:1
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fit_mix_2D_gaussian
fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm
format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M )
input: X - input samples, Nx2 vector
M - number of gaussians which are assumed to compose the distribution
output: u - fitted mean for each gaussian (each mean is a 2x1 vector)
covar - fitted covariance for each gaussian. this is a 2x2xM matrix.
t - probability of each gaussian in the complete distribution
iter - number of iterations done by the function
- 2011-02-09 19:04:25下载
- 积分:1