Bayesian Channel Estimation
Bayesian Channel Estimation is a statistical inference method within channel estimation that incorporates prior knowledge about channel parameters through a probabilistic framework, distinguishing itself by using Bayes' theorem to compute the posterior distribution of the channel state given observed data.
140
Publications
5.4K
Citations
372
Authors
193
Institutions
Publications per year
2017–2026
47
Parents
140
1–5 of 140
372
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h-index
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193
Tsinghua University
Beijing, China
9 h-index
16 publications
735 citations

Xidian University
Xi'an, China
6 h-index
17 publications
1.4K citations

University of Electronic Science and Technology of China
Chengdu, China
6 h-index
16 publications
557 citations

Supélec
Gif-sur-Yvette, France
5 h-index
8 publications
425 citations
Texas A&M University
College Station, United States
5 h-index
8 publications
654 citations

Southeast University
Nanjing, China
5 h-index
8 publications
662 citations

The University of Sydney
Sydney, Australia
4 h-index
9 publications
335 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
8 publications
545 citations
1–8 of 193
21 publications · 1.1K citations
17
h-index
15 publications · 725 citations
13
h-index
13 publications · 868 citations
13
h-index
9 publications · 282 citations
9
h-index
7 publications · 384 citations
7
h-index
1–5