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Sparse Recovery Guarantees Under Aggressive Quantisation
D. Abebe
Blair High School · High school
This paper is still in review. The full text becomes available if and when an editor accepts it.
Abstract
We extend restricted isometry arguments to the case where measurements are quantised to two bits, and give a recovery bound that degrades gracefully in the quantisation level. Numerical experiments match the predicted scaling.
compressed sensingquantisationsignal processing
Review record
3 AI reports
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Version history
- v12026-08-21Initial submissionCurrent