Resonant Tunneling Diodes-Based Cellular Nonlinear Networks with Fault Tolerance Analysis
Joint Authors
Duan, Shukai
Hu, Xiaofang
Gao, Shiyong
Wang, Lidan
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-28
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The resonant tunneling diodes (RTD) have found numerous applications in high-speed digital and analog circuits owing to its folded-back negative differential resistance (NDR) in current-voltage (I-V) characteristics and nanometer size.
On account of the replacement of the state resistor in standard cell by an RTD, an RTD-based cellular neural/nonlinear network (RTD-CNN) can be obtained, in which the cell requires neither self-feedback nor a nonlinear output, thereby being more compact and versatile.
This paper addresses the structure of RTD-CNN in detail and investigates its fault-tolerant properties in image processing taking horizontal line detection and edge extraction, for examples.
A series of computer simulations demonstrates the promising fault-tolerant abilities of the RTD-CNN.
American Psychological Association (APA)
Duan, Shukai& Hu, Xiaofang& Wang, Lidan& Gao, Shiyong. 2013. Resonant Tunneling Diodes-Based Cellular Nonlinear Networks with Fault Tolerance Analysis. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031710
Modern Language Association (MLA)
Duan, Shukai…[et al.]. Resonant Tunneling Diodes-Based Cellular Nonlinear Networks with Fault Tolerance Analysis. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1031710
American Medical Association (AMA)
Duan, Shukai& Hu, Xiaofang& Wang, Lidan& Gao, Shiyong. Resonant Tunneling Diodes-Based Cellular Nonlinear Networks with Fault Tolerance Analysis. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031710
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031710