Abstract
This paper applies to both the applications of artificial neural networks and to communications systems. To ensure a reliable digital data transmission over noisy insecure channels, information must undergo a coding process. Neural nets can be used as both coders and, much more interesting, decoders, outperforming by far performance achieved with algebraic methods when data is sent over an AWGN channel. In particular, we show that a three-layer feed-forward neural network is sufficient to decode any Reed-Solomon (RS) code. The simulation results for the RS[8,4,3] code over GF(22) show that soft decision neural network decoding after transmission over an AWGN channel could give 1.75dB coding gain relative to hard decision.
Submitted to International Workshop on Artificial Neural Networks (IWANN'95)
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References
Berlekamp,E.R., McEliece,R. & Tilborg,H. “On the inherent intractability of certain coding problems”, IEEE Trans. on Inf. Theory, Vol. 24: 384–386, 1978.
Bruck,J. & Blaum,M. “Neural Networks, Error-Correcting Codes, and Polynomials over the Binary n-Cube”, IEEE Trans. on Inf. Theory, Vol. 35, No. 5: 976–987, 1989.
Bulsari,A. “Some analytical solutions to the practical form of the general approximation problem for feedforward neural networks”, Technical Report Abo Akademi, March 1993.
Garey,M. & Johnson,D. Computers and Intractability: A Guide to the Theory of NP-Compieteness, Freeman 1978.
Hopfield,J.J. & Tank,D.W. “Neural Computing of Decision in Optimization Problems”, Biological Cybernetics, Vol. 52: 141–152, 1985.
MacWilliams,F.J. & Sloane,N.J.A. The Theory of Error-Correcting Codes, North-Holland Mathematical Library, 1977.
Rampone,S., Esposito,A. & Tagliaferri,R. “A Neural Network for Error Correcting Decoding of Binary Linear Codes”, Neural Networks, Vol. 7, No. 1: 195–202, 1994.
Shin,S.K. & Sweeney,P. “Soft decision decoding of Reed-Solomon codes using trellis methods”, IEE Proc.-Commun., Vol. 141, No. 5: 303–308, October 1994.
Taipale,D.J. & Seo,M.J. “An Efficient Soft-Decision Reed-Solomon Decoding Algorithm”, IEEE Trans. on Inf. Theory, Vol. 40, No. 4: 1130–1139, July 1994.
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© 1995 Springer-Verlag Berlin Heidelberg
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Ortín, I.O., Sagristà, J.S. (1995). Neural networks in digital data transmission. In: Mira, J., Sandoval, F. (eds) From Natural to Artificial Neural Computation. IWANN 1995. Lecture Notes in Computer Science, vol 930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59497-3_293
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DOI: https://doi.org/10.1007/3-540-59497-3_293
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