A new sensor selection scheme for Bayesian learning based sparse signal recovery in WSNs

DOI10.1016/j.jfranklin.2017.06.009zbMath1395.94181OpenAlexW2639424157MaRDI QIDQ1661457

Yang Yu, Bo Xue, Linghua Zhang, Wei-Ping Zhu

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.06.009

Mathematics Subject Classification ID

Convex programming (90C25) Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Sparse Bayesian learning approach for discrete signal reconstruction

Uses Software

• CVX
• PDCO

Cites Work

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