Off-campus UMass Amherst users: To download campus access dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.
Non-UMass Amherst users: Please talk to your librarian about requesting this dissertation through interlibrary loan.
Dissertations that have an embargo placed on them will not be available to anyone until the embargo expires.
ORCID
N/A
Access Type
Open Access Thesis
Document Type
thesis
Degree Program
Electrical & Computer Engineering
Degree Type
Master of Science in Electrical and Computer Engineering (M.S.E.C.E.)
Year Degree Awarded
2018
Month Degree Awarded
February
Abstract
Memristor is a novel passive electronic device and a promising candidate for new generation non-volatile memory and analog computing. Analog computing based on memristors has been explored in this study. Due to the lack of commercial electrical testing instruments for those emerging devices and crossbar arrays, we have designed and built testing circuits to implement analog and parallel computing operations. With the setup developed in this study, we have successfully demonstrated image processing functions utilizing large memristor crossbar arrays. We further designed and experimentally demonstrated the first memristor based field programmable analog array (FPAA), which was successfully configured for audio equalizer and frequency classifier demonstration as exemplary applications of such memristive FPAA (memFPAA).
DOI
https://doi.org/10.7275/11246400
First Advisor
Jianhua (Joshua) Yang
Recommended Citation
Li, Yunning, "Analog Computing using 1T1R Crossbar Arrays" (2018). Masters Theses. 607.
https://doi.org/10.7275/11246400
https://scholarworks.umass.edu/masters_theses_2/607
Included in
Computer and Systems Architecture Commons, Electrical and Electronics Commons, Electronic Devices and Semiconductor Manufacturing Commons, Nanotechnology Fabrication Commons, Other Electrical and Computer Engineering Commons, Signal Processing Commons