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A general memristor model and its applications in programmable analog circuits.

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Title: A general memristor model and its applications in programmable analog circuits.
Authors: Zha, Jinxiang1, Huang, He1,2 hhuang@suda.edu.cn, Huang, Tingwen2, Cao, Jinde3,4, Alsaedi, Ahmed4, Alsaadi, Fuad E.5
Source: Neurocomputing. Dec2017, Vol. 267, p134-140. 7p.
Subjects: Memristors, Programmable circuits, Analog circuits, Highpass electric filters, Apodization
Abstract: This paper focuses on presenting a new memristor model with a general window function. Three adjustable parameters are introduced such that it is more flexible. It is seen that several well-known window functions are the special cases of the general window function. Some issues (e.g., the boundary lock and limited scalability) encountered in previously reported memristor models are thus efficiently resolved. Furthermore, fine-resolution programmable resistance is achieved by controlling the parameters of the general memristor model. The programmable analog filter and gain amplifier are finally implemented to illustrate the applications of the developed memristor model. [ABSTRACT FROM AUTHOR]
Copyright of Neurocomputing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 124577579
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A general memristor model and its applications in programmable analog circuits.
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>. Dec2017, Vol. 267, p134-140. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Memristors%22">Memristors</searchLink><br /><searchLink fieldCode="DE" term="%22Programmable+circuits%22">Programmable circuits</searchLink><br /><searchLink fieldCode="DE" term="%22Analog+circuits%22">Analog circuits</searchLink><br /><searchLink fieldCode="DE" term="%22Highpass+electric+filters%22">Highpass electric filters</searchLink><br /><searchLink fieldCode="DE" term="%22Apodization%22">Apodization</searchLink>
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  Label: Abstract
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  Data: This paper focuses on presenting a new memristor model with a general window function. Three adjustable parameters are introduced such that it is more flexible. It is seen that several well-known window functions are the special cases of the general window function. Some issues (e.g., the boundary lock and limited scalability) encountered in previously reported memristor models are thus efficiently resolved. Furthermore, fine-resolution programmable resistance is achieved by controlling the parameters of the general memristor model. The programmable analog filter and gain amplifier are finally implemented to illustrate the applications of the developed memristor model. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Neurocomputing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.neucom.2017.04.057
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        Text: English
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              Text: Dec2017
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