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cdfplot
绘制经验函数图像的Matlab程序,用于数理分析(Experience of Matlab functions to draw the image program for mathematical analysis)
- 2011-01-11 20:07:16下载
- 积分:1
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matlanUserGuid
说明: matlab的入门经典书籍,适合初学者使用。(matlab introduction to classic books for beginners.)
- 2010-04-24 20:17:02下载
- 积分:1
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AWGN
用MATLAB实现AWGN的各种方法,方便大家用MATLAB编写AWGN信道(Various methods of MATLAB AWGN, facilitate everybody use MATLAB AWGN channel
)
- 2014-08-19 14:06:51下载
- 积分:1
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q
说明: GM(1,1)模型程序
可用于一般时间序列预测(GM (1,1) model program can be used for general time series prediction)
- 2009-04-08 18:34:59下载
- 积分:1
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vblast4
V-BLAST在平坦衰落信道中的分层检测,所采用的是MMSE算法,对BER进行仿真。(V-BLAST in flat fading channel layer test, the MMSE algorithm is used, the BER simulation.)
- 2010-05-15 14:05:53下载
- 积分:1
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conv
用matlab实现了对于离散系列在时域上求其现行卷积(Achieved with matlab for the discrete series in the time domain convolution seek their existing)
- 2010-05-16 17:05:47下载
- 积分:1
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Mersenne-Twister-suijishufashengqi
Mersenne Twister随机数发生器(Mersenne Twister generator,MTG for short)是Makoto Matsumoto于1998年对TGFSRG(旋转广义反馈移位寄存器发生器)的更进一步改进。(Mersenne Twister random number generator (Mersenne Twister generator, MTG for short) is Makoto Matsumoto in 1998 TGFSRG (rotation generalized feedback shift register generator) is further improved.)
- 2011-06-29 19:48:15下载
- 积分:1
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theoreticalplate
说明: 一个用于计算精馏塔理论塔板的小程序,可以实现图示化.(a theory used in the calculation of distillation tray of small procedures, can achieve Graphic.)
- 2006-03-22 14:15:30下载
- 积分:1
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Horn-Schunck--method-for-3-D-images
An implementation of Horn-Schunck optical flow method for 3-D images(This is an implementation of Horn-Schunck optical flow method for three dimensional images. A demo with test dataset is given.)
- 2013-10-03 22:31:35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