TY - GEN
T1 - DeepCodec
T2 - 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
AU - Mousavi, Ali
AU - Dasarathy, Gautam
AU - Baraniuk, Richard G.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - We develop a novel computational sensing framework for sensing and recovering structured signals. When trained on a set of representative signals, our framework learns to take undersampled measurements and recover signals from these measurements using a deep convolutional neural network. In other words, it learns a transformation from the original signals to a near-optimal number of undersampled measurements and the inverse transformation from measurements to signals. This is in contrast to conventional compressive sensing (CS) systems that use random linear measurements and convex optimization or iterative algorithms for signal recovery.
AB - We develop a novel computational sensing framework for sensing and recovering structured signals. When trained on a set of representative signals, our framework learns to take undersampled measurements and recover signals from these measurements using a deep convolutional neural network. In other words, it learns a transformation from the original signals to a near-optimal number of undersampled measurements and the inverse transformation from measurements to signals. This is in contrast to conventional compressive sensing (CS) systems that use random linear measurements and convex optimization or iterative algorithms for signal recovery.
UR - http://www.scopus.com/inward/record.url?scp=85047966244&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85047966244&partnerID=8YFLogxK
U2 - 10.1109/ALLERTON.2017.8262812
DO - 10.1109/ALLERTON.2017.8262812
M3 - Conference contribution
AN - SCOPUS:85047966244
T3 - 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
SP - 744
BT - 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 October 2017 through 6 October 2017
ER -