Joint-sparse recovery in distributed networks via cooperative support fusion

スポンサーリンク

概要

• 論文の詳細を見る

• In this letter, we consider the problem of finding sparse signals that share the same support set from their compressed measurements collected at individual sensors in distributed networks, where each sensor has limitations in computational capability and communication power/bandwidth. In order to deal with this problem, we propose a new iterative algorithm which alternates between compressed reconstruction with partially known support at each sensor and adaptive learning support information via cooperative support fusion among sensors. Compared with other existing algorithms, the results obtained by the proposed algorithm show a significant improvement in both noiseless and noisy environments.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• Song Zha

  College of Electronic Science and Engineering, National University of Defense Technology

• Peiguo Liu

  College of Electronic Science and Engineering, National University of Defense Technology

• Jijun Huang

  College of Electronic Science and Engineering, National University of Defense Technology

• Gaosheng Li

  College of Electronic Science and Engineering, National University of Defense Technology

関連論文

• Joint-sparse recovery in distributed networks via cooperative support fusion

スポンサーリンク