If information bandwidth less than total bandwidth, then should be able to sample below Nyquist without information loss and recover missing samples by convex optimization” (Emmanuel Candès, ‘Compressive Sensing – a 25 minute tour’, EU-US Frontiers of Engineering Symposium, Cambridge, September 2010)
Compressed Sensing: Applications in Radar and Communications
COSTANZO, Sandra;
2016-01-01
Abstract
If information bandwidth less than total bandwidth, then should be able to sample below Nyquist without information loss and recover missing samples by convex optimization” (Emmanuel Candès, ‘Compressive Sensing – a 25 minute tour’, EU-US Frontiers of Engineering Symposium, Cambridge, September 2010)File in questo prodotto:
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