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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2863557
Abstract: A subspace tracking technique has drawn a lot of attentions due to its wide applications. The main objective of this approach is to estimate signal or noise subspace basis for the sample covariance matrix. In…
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Keywords:
tracking algorithm;
power iteration;
subspace tracking;
subspace ... See more keywords
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Published in 2018 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2018.2849755
Abstract: Channel feedback is essential in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. Unfortunately, prior work on multiuser MIMO has shown that the feedback overhead scales linearly with the number of base station (BS)…
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Keywords:
subspace codebook;
aod adaptive;
channel feedback;
codebook ... See more keywords
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Published in 2017 at "Neural Computation"
DOI: 10.1162/neco_a_00982
Abstract: We propose a nonparametric procedure to achieve fast inference in generative graphical models when the number of latent states is very large. The approach is based on iterative latent variable preselection, where we alternate between…
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Keywords:
select accelerating;
preselection;
selection;
using adaptive ... See more keywords