Channel estimation with Bayesian framework based on compressed sensing algorithm in multimedia transmission system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-018-6443-1.pdf
Reference27 articles.
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2. Byun SH, Seong W, Kim SM (2013) Sparse underwater Acoustic Channel parameter estimation using a wideband receiver Array[J]. IEEE J Ocean Eng 38(4):718–729
3. Chen Z, Hou X, Gong C, Qian X (2016) Compressive sensing reconstruction for compressible signal based on projection replacement. Multimed Tools Appl 75(5):2565–2578
4. Dai W, Milenkovic O (2009) Subspace pursuit for compressive sensing signal reconstruction [J]. IEEE Trans Inf Theory 55(5):2230–2249
5. Gao Z, Dai L, Dai W et al (2016) Structured compressive sensing-based Spatio-temporal Joint Channel estimation for FDD massive MIMO [J]. IEEE Trans Commun 64(2):601–617
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