The Application of Nonlinear Structures to the Reconstruction of Binary Signals

IEEE Transactions on Signal Processing

Volumn 39, Issue 8, 1991, Pages 1877-1884

  Gibson, Gavin J ^a   Siu, Sammy ^b   Cowan, Colin F N ^c  

^a Roke Manor Research Limited   (United Kingdom)

^b Department of Electrical Engineering University of Edinburgh ^*

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; NEURAL NETWORKS; PROBABILITY; SIGNAL FILTERING AND PREDICTION; SIGNAL PROCESSING - DIGITAL TECHNIQUES;

BINARY SIGNALS RECONSTRUCTION; CHANNEL EQUALIZERS; MULTILAYER PERCEPTRONS; NEURAL NETWORK EQUALIZERS; NONLINEAR STRUCTURES; STOCHASTIC GRADIENT DESCENT ALGORITHM;

EQUALIZERS;

EID: 0026204015     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.91157     Document Type: Article

References (7)

1. M. Minsky and S. Papert, Perceptrons: An Introduction to Computational Geometry. Cambridge, MA: M.I.T. Press, 1969.
2. S. U. H. Qureshi, “Adaptive equalisation,” Proc. IEEE, vol. 73, no. 9, pp. 1349-1387, Sept. 1985.
3. J. G. Proakis, Digital Communications. New York: McGraw-Hill, 1983.
4. B. Widrow and M. Hoff, Jr., “Adaptive switching circuits,” in IRE WESCON Conv. Record, pt. 4, 1960, pp. 96-104.
5. B. Widrow, R. G. Winter, and R. A. Baxter, “Layered neural nets for pattern recognition,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, no. 7, pp. 1109-1118, July 1988.
6. G. Cybenko, “Approximations by superpositions of a sigmoidal function,” University of Illinois at Urbana-Champaign, CSRD, Rep. 856, 1989.
7. D. E. Rumelhart, G. D. Hinton, and R. J. Williams, “Learning internal representations by error propagation,” in Parallel Distributed Processing: Explorations in the Microstructure of Cognition, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: M.I.T. Press, 1986.