Matching in memristor based auto-associative memory with application to pattern recognition

Yuanfan Yang, Jimson Mathew, Dhiraj K. Pradhan

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)

Abstract

The study of memristor based associative memory design has become increasingly important with the advent of new hybrid CMOS Molecular (CMOL) technologies. To date, only a very few papers have been published on this topic. Specifically, little is know regarding partial or full match is possible in CMOL technologies which use CMOS and memristors. To this end, a new approach to implement partial of full matching in associative memory is introduced. The method is based on complementary transformations at the input. This method is augmented with transformations that specifically enhance partial or full matching of the input data while improving the performance. Experimental results show that the proposed methodology can achieve better performance than similar designs in the literature.

Original languageEnglish
Title of host publicationInternational Conference on Signal Processing Proceedings, ICSP
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1463-1468
Number of pages6
Volume2015-January
EditionOctober
DOIs
Publication statusPublished - 19 Jan 2015
Event2014 12th IEEE International Conference on Signal Processing, ICSP 2014 - Hangzhou, China
Duration: 19 Oct 201423 Oct 2014

Conference

Conference2014 12th IEEE International Conference on Signal Processing, ICSP 2014
CountryChina
CityHangzhou
Period19/10/1423/10/14

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