A 65nm CMOS lossless bio-signal compression circuit with 250 femtoJoule performance per bit.
- Submitting institution
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University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 62777122
- Type
- E - Conference contribution
- DOI
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10.1109/TBCAS.2019.2938672
- Title of conference / published proceedings
- IEEE Transactions on Biomedical Circuits and Systems
- First page
- 1087
- Volume
- 13
- Issue
- 5
- ISSN
- 1932-4545
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2019
- URL
-
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- Supplementary information
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- 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
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2
- Research group(s)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A key significance of this paper is that it demonstrates very clearly that in systems where live sensor data is being captured via radio link, in very low power systems, the use of simpler and leaner compression algorithms can actually deliver better overall power budget savings, as compared to more complex higher-compressing alternatives. The algorithm's implementation of a complete and functional custom-ASIC silicon chip, with 65nm CMOS technology, offers a significant degree of rigour in the proof of real-world impact.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -