A memristor-based random modulator for compressive sensing systems

Yehia Massoud, Fan Xiong, Sami Smaili

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


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.
Original languageEnglish (US)
Title of host publicationISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems
PublisherIEEE Computer [email protected]
Number of pages4
StatePublished - Jan 1 2012
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13


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