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nhap-code-DPC-THP

于 2021-01-09 发布文件大小:12KB

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下载积分: 1 下载次数: 141

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代码说明：

DIRTY PAPER CODING AND TOMLINSON HARASHIMA PRECODING IN mu-mimo

文件列表：

nhap code DPC-THP
.................\data_sym_index_gen.m,492,2013-04-04
.................\dec2bin.m,289,2011-02-26
.................\hieu cac ma tran hoat dong the nao.m,11453,2013-04-05
.................\main_programe.asv,5124,2013-04-08
.................\main_programe.m,5124,2013-04-08
.................\make_tables.m,679,2013-04-04
.................\modulator.m,935,2013-04-04
.................\modulo.m,146,2013-03-24
.................\MQAM_Demodulator.m,1676,2013-04-05
.................\MQAM_modulator.m,1974,2013-04-04
.................\MQAM_modulator1.m,1171,2013-04-05
.................\nearestIndex.m,457,2013-04-04
.................\QAM16dectab.mat,194,2013-04-04
.................\QAM2dectab.mat,177,2013-04-04
.................\QAM32dectab.mat,211,2013-04-04
.................\QAM4dectab.mat,177,2013-04-04
.................\QAM64dectab.mat,241,2013-04-04
.................\QAM8dectab.mat,185,2013-04-04
.................\QPSK_demapper.m,214,2013-03-24
.................\QPSK_mapper.m,198,2013-03-24
.................\QPSK_slicer.m,282,2013-03-24
.................\sx.asv,197,2013-04-05
.................\sx.m,214,2013-04-05
.................\two_bit_to_int.asv,308,2013-04-08
.................\two_bit_to_int.m,308,2013-04-08

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2007-05-09 00:13:56下载

积分：1
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2014-10-16 08:42:14下载

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2011-02-20 22:03:27下载

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这是一个输出函数曲线的演示程序，学习matlab的可参考(This is an output function curve of the demo application, learning matlab can be reference)

2013-05-22 17:31:29下载

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mixture_of_gaussians
Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

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