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GA_MATLAB
matalab实现银行家算法自己写的仅供交流(for learn from each other ,the matlab code by myself .)
- 2011-08-25 10:27:19下载
- 积分:1
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LMSduixiao
各种LMS算法程序各种LMS算法程序各种LMS算法程序(lms suanfa and so on)
- 2014-01-12 18:09:53下载
- 积分:1
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PWM-for-servomotor
PWM for SERVOMOTOR (VIGOR-VS-1) to move it 180 degree and 0 degree using mc 89V51RD2 while crystal is taken 11.0592.
Textlast.c
- 2014-01-30 21:22:56下载
- 积分:1
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SpeedADRC_CurrentPI
永磁同步电机的自抗扰控制仿真模型,采用了速度电流环控制。(Simulation model of active disturbance rejection control for permanent magnet synchronous motor)
- 2020-06-26 23:20:02下载
- 积分:1
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MATLABcode
Matlab 解偏微分程序代码,适合科研人言,学生,工程师等(Solution of partial differential Matlab code for scientific research vary widely, students, engineers, etc.)
- 2010-08-29 09:35:11下载
- 积分:1
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SCORBOT-6GDL
the best model of a scorbot with 6 dof
- 2010-01-06 00:10:34下载
- 积分:1
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lena
说明: lena图像的分解将规范化后的图像的数据格式由适合显示图像的uint8格式转换为适合数值处理的double格式,再调用二维小波分解函数进行图像分解,最后为了清晰地显示分解图像的塔式结构,在图像的相应区域绘制若干分界线。
(lena image after decomposition of the standardized image data format suitable for display by the image is converted to uint8 format suitable for numerical treatment of the double format, and then call the function of two-dimensional wavelet decomposition for image decomposition, and finally in order to clearly show the decomposition of the image of the tower structure , the corresponding region in the image number of the line drawn.)
- 2008-09-29 09:18:37下载
- 积分:1
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C
说明: 孤岛检测在光伏发电并网系统中的应用,一个比较好的参考论文资料(Island in the application of photovoltaic power grid system, a better reference material
)
- 2013-01-09 18:09:01下载
- 积分:1
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svdsim
是图像处理中奇异值分解的代码,对图像处理很有用。(Is the singular value decomposition of the image processing code, useful for image processing.)
- 2013-05-07 23:57:11下载
- 积分:1
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ZCR
autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2.
The resulting autocovariance column vector acv is given by the formula:
acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar)
where X_bar and Y_bar are the mean estimates:
X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i}
It satisfies the following identities:
1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X)
2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)
- 2013-05-26 22:12:50下载
- 积分:1