FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction
- Submitting institution
-
De Montfort University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11199
- Type
- D - Journal article
- DOI
-
10.1109/TVLSI.2014.2358716
- Title of journal
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Article number
- -
- First page
- 2209
- Volume
- 23
- Issue
- 10
- ISSN
- 1063-8210
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 52
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper reports a novel, scalable and efficient architecture based on FPGAs for the reconstruction of compressively sensed signal using the orthogonal matching pursuit algorithm. The research is significant evidenced by the novel contributions at the architecture and FPGA implementation levels and the use of the algorithm to secure funding for EMBIOT project, and generate several related IEEE prestigious journal and conference papers where it has been deployed in many healthcare and gas applications. Prof. Amira presented two keynote talks based on this work at IC3E2015 and ICATS’15. He also organized two invited tutorials at the IEEE GCC13, ISSPIT15, IDT212.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -