当接收的信号源是部分相干或者全部相干的时候，信号源协方差矩阵会出现亏秩的情况，进而导致阵列接收数据协方差矩阵出现缩维的情况，所以基于数据协方差矩阵特征分解的子空间类算法性能会变得很差。于是，对于相干源的解相干技术就变得很重要，主要的解相干方法包括：空间平滑方法、基于奇异值分解的方法和基于信号特征矢量的方法。

此程序描述基于APES算法的谱估计。该算法既可以估计信号幅度，又可以估计信号的相位。这种算法估计的精确度高。

经典Esprit空间谱估计算法的代码 适合初学空间谱估计的人

讨论了基于时域平滑和谱平滑的两 种循环谱的计算方法。同时介绍了基于循环谱包络的DS-SS信号的码片时宽和载 频参数的估计算法。

多种传统DOA估计算法（MUSIC，Capon，ESPRIT等以及相互之间的对比）

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。

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；

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。。。

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)

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.