DocumentCode :
231925
Title :
Matching in memristor based auto-associative memory with application to pattern recognition
Author :
Yuanfan Yang ; Mathew, Jinesh ; Pradhan, D.K.
Author_Institution :
Univ. of Bristol, Bristol, UK
fYear :
2014
fDate :
19-23 Oct. 2014
Firstpage :
1463
Lastpage :
1468
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.
Keywords :
CMOS memory circuits; content-addressable storage; integrated circuit design; memristor circuits; molecular electronics; pattern recognition; CMOL technology; full input data matching; hybrid CMOS molecular technology; memristor based auto-associative memory design; partial input data matching; pattern recognition; Associative memory; Biological neural networks; Character recognition; Frequency modulation; Memristors; Resistance; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
ISSN :
2164-5221
Print_ISBN :
978-1-4799-2188-1
Type :
conf
DOI :
10.1109/ICOSP.2014.7015242
Filename :
7015242
Link To Document :
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