Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications
Accepted for publication in IEEE Transactions on Signal Processing Journal
The paper "Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications" by Nezihe Merve Gürel, Kaan Kara, Alen Stojanov, Tyler Smith, Thomas Lemmin, Dan Alistarh, Markus Püschel and Ce Zhang has been accepted for publication in external pageIEEE Transactions on Signal Processing Journalcall_made.