matlab仿真利用简单的music算法对到达天线阵列的信号进行到达角估计。
2019-12-21 21:34:27 1KB doa music 空间谱估计
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该MATLAB程序详细的分析了在大规模MIMO下LS信道估计算法,该程序可以直接仿真出图形,对论文/文章中涉及到LS信道估计的有很大的帮助;
2019-12-21 21:33:39 5KB 大规模MIMO LS信道估计
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这是关于:OFDM系统LS与MMSE信道估计算法仿真分析文献及仿真程序,,希望对你有帮助,,欢迎下载。。。
2019-12-21 21:31:31 201KB LS MMSE 信道估计算法 文献
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Mateda2.0一个非常好用的分布估计算法matlab工具箱,For a preliminary explanation of Mateda2.0 see the file Mateda2.0-UserGuide.pdf in this directory. General documentation about the programs is available in the /doc directory or from: http://www.sc.ehu.es/ccwbayes/members/rsantana/software/matlab/MATEDA.html MATEDA-2.0 employs the Matlab Bayes Net (BNT) toolbox (Murphy:2001) and the BNT structure learning package (Leray_and_Francois:2004). These programs, which are freely available from the authors website (they can be respectively downloaded from http://people.cs.ubc.ca/~murphyk/Software/BNT/bnt.html and http://banquiseasi.insa-rouen.fr/projects/bnt-slp/), should be installed previously to the MATEDA-2.0 installation. Some of the MATEDA-2.0 routines also employs the MATLAB statistical toolbox and the affinity propagation clustering algorithm (Frey_and_Dueck:2007) (the Matlab implementation of affinity propagation is available from http://www.psi.toronto.edu/affinitypropagation/). After installing the BNT and BNT structure learning tools: 1) Set the path to the current BNT structure learning tool directory. This is done by modifying file add_SLP.m. 2) Unpack the file IntEDA.zip and copy the files to a directory named MATEDA. 3) Edit file InitEnvironment.m updating the paths path_MATEDA, path_FullBNT and path_BNT_SLP. 4) Set the current Matlab directory to the MATEDA directory. 5) Execute program InitEnvironments.m. Several warnings but no error should appear. The folder ScriptsMateda contains several examples of EDAs implementations. The file Mateda2.0-UserGuide.pdf contains a detailed explanation of how to use the programs. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Last version 2/04/2009. Roberto Santana (roberto.santana@ehu.es)
2019-12-21 21:20:37 956KB 分布估计算 matlab工具箱
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这是一份论文,有关信道估计的.里面介绍了LS,MMSE算法,并且有LMMSE和SVD作为对MMSE算法的改进.
2019-12-21 21:19:27 247KB 信道估计 MMSE
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OFDM系统LS与MMSE信道估计算法仿真分析的算法程序。
2019-12-21 21:19:25 629KB mmse
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基于广义互相关时延估计算法声源定位 很好很强大
2019-12-21 21:19:10 307KB 时延估计 声源定位
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基于matlab的时延估计算法的互相关函数仿真源代码
2019-12-21 21:18:52 267B matlab 时延估计 互相关
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LTE下行链路信道估计算法研究,
2019-12-21 21:16:38 11.71MB LTE
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lmmse算法现在研究已经十分完善了,改进的算法减小了其复杂度
2019-12-21 21:14:21 850KB OFDM
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