62
Views
0
CrossRef citations to date
0
Altmetric
Section B

Noise removal using hysteretic Hopfield tunnelling network in message transmission systems

, &
Pages 650-660 | Received 16 Dec 2008, Accepted 11 Dec 2009, Published online: 15 Dec 2010
 

Abstract

A novel approach of two-tier noise removal scheme for message transmission systems is proposed with hysteretic Hopfield tunnelling network (HHTN). The proposed system increases the security of messages and reduces the complexity of recognition of characters due to external distortion or diffusion. Though there are many error detection codes, these codes request retransmission when there is an error. If the error rate is high the number of retransmissions is high which causes a delay in data communication. Kim et al. [Y.S. Kim, Y.M. Kim, J.Y. Choi, and D.K. Baik, Information hiding system stegowaveK for improving capacity, Parallel Distributed Comput. (2003), pp. 423–426] proposed an alternate two-tier communication system with code division multiple access (CDMA) technology and a mapping table. When HHTN is added to the system, the learning ability enables the network to remember patterns and enhances the speed. But when images of larger size are stored, the network fails to recognize, which leads to further research in this area.

2010 AMS Subject Classifications :

Acknowledgements

We are grateful to the anonymous referees for their critical comments that improved the results and the quality of the paper.

Notes

The preliminary version of this paper was presented in European Computer Modelling and Simulation Symposium 2008 Citation3.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,129.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.