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gabor_image_paper
Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system, and it has been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave. The Gabor filters are self-similar – all filters can be generated from one mother wavelet by dilation and rotation
- 2010-06-28 17:56:48下载
- 积分:1
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SA_TSP
在MATLAB环境下,对旅行商(TSP)问题的研究与设计源代码(In the MATLAB environment, the traveling salesman (TSP) problem of the source code and design
)
- 2010-12-16 18:48:50下载
- 积分:1
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copula-var
基于copula函数求资产组合的风险VaR(Matlab copula VaR)
- 2021-03-01 14:49:35下载
- 积分:1
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4
说明: matlab符号数学工具箱,比较好哟,详细讲解了里面的命令指令(matlab symbolic math toolbox, the better yo explain in detail the commands inside command)
- 2013-03-25 22:18:00下载
- 积分:1
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GCCLMS
用自适应法做时延估计,然后根据时延估计确定声源的定位(Adaptive time delay estimation method used to do, and then determine the time delay estimation based on the positioning of the sound source)
- 2021-03-18 10:09:19下载
- 积分:1
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matlabimageorder
将matlab图像处理的一些命令函数,可用于图像处理的一些运算(The matlab image processing function of some commands can be used for some image processing operations)
- 2010-05-12 22:29:56下载
- 积分:1
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texture123
本程序实现了对一副图像中的材质不同的物体进行分类,对于材质相同的物体归为一类.(the realization of the image of a different material objects to the classification, For the same material objects classified as a category.)
- 2007-04-12 09:41:47下载
- 积分:1
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xxfz
线性分组码的简单实现, 包括生成矩阵,最小码字,二-十进制转换等功能(Simple linear block code to achieve, including the generator matrix, the smallest code word, two- decimal conversion function)
- 2011-12-07 18:24:40下载
- 积分:1
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OnePointGR
合成孔径雷达,距离多普勒算法下的,简单点目标欺骗干扰,matlab仿真程序。(Range_Dopplor algorithm of deception jamming about Synthetic Aperture Radar. )
- 2014-02-26 00:17:16下载
- 积分:1
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ConvolveByRiemannSum
ConvolveByRiemannSum assumes that x(t) and h(t) have finite support,
and that the user provides samples of these functions in two vectors,
x and h. These vectors contain samples of x, sampled at time points
given in vector tx = tx_min:Delta_t:tx_max and samples of h sampled
at time points in vector th = th_min:Delta_t:th_max, respectively.
The functions x and h are assumed to be zero outside tx_min and tx_max
and outside th_min and th_max, respectively.
Note that while tx_min, tx_max, th_min, and th_max may differ, the time
sample vectors must share the same time-interval, Delta_t.
- 2012-01-19 02:50:08下载
- 积分:1