Heuristics for computing sparse solutions for ill-posed inverse problems in signal and image recovery
For almost a century the famous theorem of Shannon-Nyquist has been very important in digital signal processing applications as the basis for the number of samples required to efficiently reconstruct any type of signal, such as speech and image data. However, signals and images are mainly stored and...
| Main Author: | |
|---|---|
| Other Authors: | |
| Published: |
King's College London (University of London)
2016
|
| Subjects: | |
| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.695814 |