TY - GEN
T1 - A memristor-based random modulator for compressive sensing systems
AU - Massoud, Yehia
AU - Xiong, Fan
AU - Smaili, Sami
N1 - Generated from Scopus record by KAUST IRTS on 2022-09-13
PY - 2012/1/1
Y1 - 2012/1/1
N2 - Memristors promise to allow high levels of compaction in computing systems because these elements combine memory and switching functionality. This can be utilized to overcome some of the hardware challenges in compressive sensing architectures. In this paper, we propose a compressive sensing system architecture that uses a memristor-based random modulator. The gains of using such a memristor-based modulator mainly stem from replacing memory blocks and many of the switching components typically used in compressive sensing. We discuss some of these benefits and the design considerations that need to be addressed in memristor-based compressive sensing architectures. © 2012 IEEE.
AB - Memristors promise to allow high levels of compaction in computing systems because these elements combine memory and switching functionality. This can be utilized to overcome some of the hardware challenges in compressive sensing architectures. In this paper, we propose a compressive sensing system architecture that uses a memristor-based random modulator. The gains of using such a memristor-based modulator mainly stem from replacing memory blocks and many of the switching components typically used in compressive sensing. We discuss some of these benefits and the design considerations that need to be addressed in memristor-based compressive sensing architectures. © 2012 IEEE.
UR - http://ieeexplore.ieee.org/document/6271793/
UR - http://www.scopus.com/inward/record.url?scp=84866603376&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2012.6271793
DO - 10.1109/ISCAS.2012.6271793
M3 - Conference contribution
SP - 2445
EP - 2448
BT - ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems
PB - IEEE Computer [email protected]
ER -