Memristor based crossbar memory array sneak path estimation

Citation data:

2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), ISSN: 2165-0179, Page: 1-2

Publication Year:
Usage 11
Abstract Views 11
Captures 12
Readers 12
Citations 5
Citation Indexes 5
Repository URL:
Naous, Rawan; Zidan, Mohammed A.; Sultan Salem, Ahmed K.; Salama, Khaled N.
Institute of Electrical and Electronics Engineers (IEEE); IEEE
Computer Science; Engineering; channel estimation; detection theory; Memristor; pilot setting; sneak path
conference paper description
Gateless Memristor Arrays have the advantage of offering high density systems however; their main limitation is the current leakage or the sneak path. Several techniques have been used to address this problem, mainly concentrating on spatial and temporal solutions in setting a dynamic threshold. In this paper, a novel approach is used in terms of utilizing channel estimation and detection theory, primarily building on OFDM concepts of pilot settings, to actually benefit from prior read values in estimating the noise level and utilizing it to further enhance the reliability and accuracy of the read out process.