Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Cui-tao ZHU"'
Publikováno v:
Tongxin xuebao, Vol 35, Pp 140-147 (2014)
A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for t
Externí odkaz:
https://doaj.org/article/59078fc87af448f5a26c616e49fa5dc8
Publikováno v:
Applied Mechanics and Materials. :3777-3780
In this paper, we propose a fast algorithm based on Reweighted Alternating Direction Method of Multiplier (R-ADMM) for cooperative compressive wideband spectrum sensing. The R-ADMM alternately updates the recovered signal matrix, the Lagrangian multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da389f5eac66a6a78fcb2c1068b69984
https://doi.org/10.4028/www.scientific.net/amm.513-517.3777
https://doi.org/10.4028/www.scientific.net/amm.513-517.3777
Autor:
Sheng Bin Liao, Cui Tao Zhu
Publikováno v:
Applied Mechanics and Materials. :1807-1810
Network utility maximization model with random link failures was presented in this paper. We provide a distributed algorithm based on the dual decomposition and investigate the impacts of link failures on the network utility. Numerical results valida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc25920216a6a3db12f0263d6abf1cef
https://doi.org/10.4028/www.scientific.net/amm.513-517.1807
https://doi.org/10.4028/www.scientific.net/amm.513-517.1807
Publikováno v:
Applied Mechanics and Materials. :491-494
A cascaded modular structure is proposed to implement the blind MVDR detector. In each module of the structure, a vector filter is introduced for adaptive interference cancellation. The weight vector is determined based on a maximum magnitude cross c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9222d9937e913b67565e8d2583919f5
https://doi.org/10.4028/www.scientific.net/amm.128-129.491
https://doi.org/10.4028/www.scientific.net/amm.128-129.491