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基于蚁群算法的图像边缘检测 MATLAB源程序

于 2018-03-08 发布文件大小:7KB

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基于蚁群算法的图像边缘检测，包含四种核函数，下载之后可直接运行(Image edge detection based on ant colony algorithm, including four kernel functions, which can run directly after downloading)

文件列表：

基于蚁群算法的图像边缘检测 MATLAB源程序\ant.jpg, 5121 , 2011-07-17
基于蚁群算法的图像边缘检测 MATLAB源程序\edge_ACO.m, 8619 , 2018-03-08
基于蚁群算法的图像边缘检测 MATLAB源程序, 0 , 2018-03-08

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kaam_ki_cheez
The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)

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2010-12-12 20:37:04下载

积分：1

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基于蚁群算法的图像边缘检测 MATLAB源程序

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