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...

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Vydáno v:Revista IEEE América Latina Ročník 12; číslo 8; s. 1365 - 1374
Hlavní autoři: Torres Salamea, Hugo, Jamett Dominguez, Marcela, Urrea Onate, Claudio, Kern Molina, John
Médium: Journal Article
Jazyk:angličtina
Vydáno: Los Alamitos IEEE 01.12.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
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
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2014.7014502