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haar
matlab code for haar methode
- 2010-11-20 07:01:46下载
- 积分：1
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linear_interpo
用线性内插方法实现图像的任意倍数的放大，语言matlab(Linear interpolation of image magnification factor of any)
- 2010-12-16 21:08:13下载
- 积分：1
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BA_net
产生一个BA无标度网络模型，可以方便的分析(Generating a BA scale-free network model, you can easily analyze)
- 2013-03-27 17:31:51下载
- 积分：1
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hsqhds
MATLAB仿真程序模块图，利用这个构建了滑膜变结构的仿真模型，利用学习仿真搭建方法(MATLAB simulation program module map, use this to build the simulation model of the synovial membrane of variable structure, the use of learning simulation construction methods)
- 2012-07-02 16:10:25下载
- 积分：1
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ga-matlab-1.0
algorithme génétique matlab
algorithme génétique matlab
algorithme génétique matlab
- 2013-12-20 23:51:01下载
- 积分：1
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matlab_Graphics
matlab语言的句柄绘图可以对图形各基本对象进行更为细腻的修饰，可以产生更为复杂的图形，而且为动态图形的制作奠定了基础。(matlab language mapping can handle the basic graphics objects more delicate grooming, can generate more complex graphics, dynamic graphics and laid the foundation for the production.)
- 2009-02-02 02:28:29下载
- 积分：1
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ITD
说明： 时域模态参数识别方法，有效的识别时域信号 并提取模态参数。效果较好(Time-domain modal parameter identification methods, and effective identification of time-domain signal and extraction of modal parameters. Better-)
- 2020-11-26 19:29:30下载
- 积分：1
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LE
说明： 拉普拉斯特征映射算法，运用MATLAB编写完成。(Laplace feature mapping algorithm, using MATLAB prepared.)
- 2015-05-07 16:51:12下载
- 积分：1
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design
低通Chebyshev 1型滤波器，通带边界频率为1500Hz，通带波纹小于3dB，阻带边界频率2000Hz，阻带衰减为40dB，采样频率为8000Hz(Low-pass Chebyshev 1 filter passband edge frequency of 1500Hz, less than 3dB passband ripple, stopband edge frequency 2000Hz, stop-band attenuation of 40 dB, the sampling frequency to 8000Hz)
- 2013-03-19 10:31:03下载
- 积分：1
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hysthresh
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 02:01:43下载
- 积分：1
