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yundongxue
当时间间隔足够小的时候，速度和加速度的瞬时值可用平均值代替。">
- 2012-05-10 20:58:04下载
- 积分：1
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juanji
求连续函数的卷积，利用matlab中的conv函数实现(Seek a continuous function of the convolution, using the conv function in Matlab to achieve)
- 2012-06-09 09:54:40下载
- 积分：1
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KalmanMain
Simple code to learn how to code a Kalman Filter in Matlab
- 2012-01-25 22:22:23下载
- 积分：1
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failan
是一种双隐层反向传播神经网络，双向PCS控制仿真，结合PCA的尺度不变特征变换(SIFT)算法。( Is a two hidden layer back propagation neural network, Two-way PCS control simulation, Combined with PCA scale invariant feature transform (SIFT) algorithm.)
- 2016-06-12 09:58:32下载
- 积分：1
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Wind-Turbine-Blockset
风力发电 matlab 模块详细介绍 风机模型 (Wind Turbine Blockset in Matlab Simulink)
- 2021-04-01 12:49:08下载
- 积分：1
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toolbox_sparsity
这是一个Matlab实现的图像Sparcy变换的程序，有助于了解多尺度变换。(This is a Matlab implementation of the image Sparcy transformation process, help to understand multi-scale transformation.)
- 2010-05-31 12:08:27下载
- 积分：1
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StationaryValidation
说明： 对一段时域信号进行加窗处理并进行fft变换，将信号进行时频转换处理。(Application a windows to the time domain signal,and convert it to frequency domain by fft method.)
- 2019-11-14 15:41:25下载
- 积分：1
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PROFANA
1. It is necessary you have defined on Matlab the X - data matrix. Size of matrix must
be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha - significance
(default = 0.05).
2. For running this file it is necessary to call the rafisher function as
PROFANA(X,alpha). Please see the help PROFANA.
3. Once you input the arguments, it will appears your results. (
1. It is necessary you have defined on Matlab the X- data matrix. Size of matrix must
be n-by-(1+p) sample=column 1, variables=column 2:p). And alpha- significance
(default = 0.05).
2. For running this file it is necessary to call the rafisher function as
PROFANA(X,alpha). Please see the help PROFANA.
3. Once you input the arguments, it will appears your results. )
- 2009-12-23 14:49:09下载
- 积分：1
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linecoords
Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse.
- 2011-11-18 02:06:20下载
- 积分：1
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correct
When using objectness in your application, it is important to take into account the score of a window returned by this software
- 2013-07-25 20:29:51下载
- 积分：1
