Adaptive-Rate Reconstruction of Time-Varying Signals with Application in Compressive Foreground Extraction
- Submitting institution
-
Heriot-Watt University
(joint submission with University of Edinburgh)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 24652115
- Type
- D - Journal article
- DOI
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10.1109/TSP.2016.2544744
- Title of journal
- IEEE Transactions on Signal Processing
- Article number
- 7442140
- First page
- 3651
- Volume
- 64
- Issue
- 14
- ISSN
- 1053-587X
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2016
- 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
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Unveiled connections between sparse reconstruction and control theory and provided a significant reduction in the number of measurements and errors compared with state-of-the-art schemes. The proposed framework has been applied in a wide variety of tasks, among which mine detection, radar, optical flow estimation, streaming data, and multiview image reconstruction e.g. https://doi.org/10.1109/ACCESS.2018.2831905; https://doi.org/10.1109/RADAR.2016.7485244.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
