Abstract
Compressed sensing can exactly reconstruct sparse or compressible signals. In practice, many sparse signals have block sparse structures. To recover block sparse signals, a block backtracking-based matching pursuit algorithm is proposed, which chooses possible correct atoms by using a block processing and deletes unreliable atoms by a backtracking mechanism. The proposed algorithm doesn't require the prior knowledge about the sparse structure of signal. Experiments demonstrate that the proposed algorithm outperforms some other greedy recovery methods.
Original language | English |
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Title of host publication | 2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 209-212 |
Number of pages | 4 |
ISBN (Electronic) | 9781538656891 |
DOIs | |
Publication status | Published - 4 Jun 2018 |
Event | 2nd International Conference on Signals and Systems, ICSigSys 2018 - Bali, Indonesia Duration: 1 May 2018 → 3 May 2018 |
Publication series
Name | 2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings |
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Conference
Conference | 2nd International Conference on Signals and Systems, ICSigSys 2018 |
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Country/Territory | Indonesia |
City | Bali |
Period | 1/05/18 → 3/05/18 |
Keywords
- block sparse signal
- compressed sensing
- orthogonal matching pursuit
- signal recovery
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Ruan, W., Zhao, J., & Bai, X. (2018). Block backtracking-based matching pursuit for arbitrary block sparse signal recovery. In 2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings (pp. 209-212). (2018 International Conference on Signals and Systems, ICSigSys 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIGSYS.2018.8372668