Design of a Fault Tolerant Digital Communication System, by means of RBF Networks.Comparison Simulations with the Encoding and Decoding Algorithms BCH (7,4,1)

This paper presents the design of a BCH encoder (7,4,1) and BCH decoder (7,4,1) with Radial Basis Neural Network as error correction technique for fault tolerant systems, applied in digital communications. The neural network model is exported to Matlab Simulink to test different scenarios, to achiev...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Revista IEEE América Latina Jg. 12; H. 8; S. 1365 - 1374
Hauptverfasser: Torres Salamea, Hugo, Jamett Dominguez, Marcela, Urrea Onate, Claudio, Kern Molina, John
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Los Alamitos IEEE 01.12.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Bit error rate
Computer simulation
Decoder BCH
Design engineering
Digital
Encoder BCH
Fault tolerance
Fault tolerant
Fault tolerant systems
Integrated circuit modeling
Irrigation
Mathematical models
Matlab
Neural networks
Radial Basis Function Neural Network
RNA
Vectors
ISSN:1548-0992, 1548-0992
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents the design of a BCH encoder (7,4,1) and BCH decoder (7,4,1) with Radial Basis Neural Network as error correction technique for fault tolerant systems, applied in digital communications. The neural network model is exported to Matlab Simulink to test different scenarios, to achieve results equivalent to those described by the BCH algorithm, in an empirical and scalar way.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2014.7014502