Data-Assisted Low Complexity Compressive Spectrum Sensing on Real-Time Signals Under Sub-Nyquist Rate
- Submitting institution
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The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9020631_1
- Type
- D - Journal article
- DOI
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10.1109/TWC.2015.2485992
- Title of journal
- IEEE Transactions on Wireless Communications
- Article number
- -
- First page
- 1174
- Volume
- 15
- Issue
- 2
- ISSN
- 1536-1276
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was kick-started by Gao’s EPSRC First Grant (2015) and led to a number of other papers and awards including IEEE Distinguished Lecturer 2017-2021 (https://vtsociety.org/2017/11/distinguished-lecturers/). Gao was one of 5 international researchers awarded the 2016 €0.5 million EU Horizon Prize on Collaborative Spectrum Sharing for the project “DISTRIBUTE” (https://ec.europa.eu/info/research-and-innovation/funding/funding-opportunities/prizes/horizon-prizes/collaborative-spectrum-sharing_en) . Gao was awarded EPSRC 5-yr Fellowship “GBSense” (EP/R00711X/1, EP/R00711X/2) in 2017.
- Author contribution statement
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- Non-English
- No
- English abstract
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