Recent Developments in Applying Neural Nets to Equalization and Interference Rejection
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Jeffrey H. Reed | I. Howitt | J. H. Reed | V. Vemuri | T. C. Hsia | T. Hsia | I. Howitt | V. Vemuri
[1] D. Kunz,et al. Channel assignment for cellular radio using neural networks , 1991 .
[2] Harry F. Olson,et al. Phonetic typewriter , 1957 .
[3] Sergio Verdú,et al. Minimum probability of error for asynchronous Gaussian multiple-access channels , 1986, IEEE Trans. Inf. Theory.
[4] Olli Simula,et al. Improving design feedback equaliser performance using neural networks , 1991 .
[5] Teuvo Kohonen,et al. The 'neural' phonetic typewriter , 1988, Computer.
[6] A. Zakhor,et al. Neural net based continuous phase modulation receivers , 1990, IEEE International Conference on Communications, Including Supercomm Technical Sessions.
[7] John J. Shynk,et al. A perceptron-based adaptive equalizer for PAM signals , 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.
[8] S. Siu,et al. Decision feedback equalisation using neural network structures and performance comparison with standard architecture , 1990 .
[9] G. J. Gibson,et al. Adaptive channel equaliza-tion using a polynomial-perceptron structure , 1990 .
[10] Sheng Chen,et al. The application of nonlinear architectures to adaptive channel equalisation , 1990, IEEE International Conference on Communications, Including Supercomm Technical Sessions.
[11] A. Hiramatsu. ATM communications network control by neural network , 1989, International 1989 Joint Conference on Neural Networks.
[12] Sammy Siu,et al. Multilayer perceptron structures applied to adaptive equalisers for data communications , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[13] Zengjun Xiang,et al. New lattice polynomial perceptron based M-QAM digital communication reception systems , 1992 .
[14] Julius T. Tou,et al. Pattern Recognition Principles , 1974 .
[15] Peter Protzel,et al. High-order neural models for error-correcting code , 1990, Defense, Security, and Sensing.
[16] Bernard Mulgrew,et al. Overcoming co-channel interference using an adaptive radial basis function equaliser , 1992, Signal Process..
[17] S. Carlsson,et al. Adaptive equalization using the backpropagation algorithm , 1989 .
[18] Zengjun Xiang,et al. Fractionally spaced decision feedback multilayer perceptron for adaptive MQAM digital mobile radio reception , 1992, [Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications.
[19] Sheng Chen,et al. Adaptive Bayesian decision feedback equaliser based on a radial basis function network , 1992, [Conference Record] SUPERCOMM/ICC '92 Discovering a New World of Communications.
[20] Richard P. Lippmann,et al. An introduction to computing with neural nets , 1987 .
[21] Chrysostomos L. Nikias,et al. Adaptive equalization for PAM and QAM signals with neural networks , 1991, [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.
[22] J. E. Jensen,et al. Neural network controller for adaptive routing in survivable communications networks , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[23] Francesco Piazza,et al. Non linear satellite radio links equalized using blind neural networks , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.
[24] M.A. Lagunas,et al. Neural nets filters: integrated coding and signaling in communication systems , 1989, Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',.
[25] Bernd-Peter Paris,et al. Neural networks for multiuser detection in code-division multiple-access communications , 1992, IEEE Trans. Commun..
[26] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .