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surrogates

于 2020-09-09 发布文件大小:479KB

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下载积分: 1 下载次数: 131

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代码说明：

替代数据法中最重要的文献和文献相关的软件代码，非常经典亚(alternative method of data the most important literature and the literature related to the software code, very classic Asia)

文件列表：

sdarticle.pdf
surrogates
..........\surrogates
..........\..........\comp_rev.m
..........\..........\end2end.m
..........\..........\generate_AAFT.m
..........\..........\generate_anneal.m
..........\..........\generate_AR.m
..........\..........\generate_ar_signal.m
..........\..........\generate_ciAAFT.m
..........\..........\generate_corr_pair.m
..........\..........\generate_FT.m
..........\..........\generate_henon.m
..........\..........\generate_iAAFT.m
..........\..........\generate_iAAFTn.m
..........\..........\generate_randperm.m
..........\..........\generate_stat_boot.m
..........\..........\index.txt
..........\..........\minmin.m
..........\..........\quick_tutorial.txt
..........\..........\ranktest.m

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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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