참고문헌
- E. Biglieri, A. Gersho, R.D. Gitlin, T.L. Lim, 'Adaptive cancellation of nonlinear intersymbol interference for voiceband data transmission', IEEE J Selected Areas Commun. SAC-2(5), pp. 765- 777, 1984 https://doi.org/10.1109/JSAC.1984.1146107
- J.G. Proakis, Digital Communications, Fourth Edition, McGraw-Hill, New York, 2001
- X.R. Cao, J. Zhu, 'Blind equalization with a linear feedforward neural network', Proc. 5th European Symp. On Artificial Neural Networks, ESANN'97, Bruges, Belgium, pp. 267-272, 1997
- H. Liu, G.. Xu, 'Closed-form blind symbol estimation in digital communications', IEEE Trans. Signal Processing, vol.43, pp.2714-2723, 1995 https://doi.org/10.1109/78.482120
- L. Tong, G. Xu, T. Kailath, 'Blind identification and equalization based on second-order statistics: a time domain approach', IEEE Trans. Inform, Theory, vol.40, pp.340-349, 1994 https://doi.org/10.1109/18.312157
- E. Serpedin, G.B. Giannakis, 'Blind channel identification and equalization with modulation-induced cyclostationarity', IEEE Trans. Signal Processing, vol.46, pp.1930-1944, 1998 https://doi.org/10.1109/78.700965
- Y. Fang, W.S. Chow, K.T. Ng, 'Linear neural network based blind equalization', Signal Processing, vol.76, pp.37-42, 1999 https://doi.org/10.1016/S0165-1684(98)00245-X
- T. Stathaki, A. Scohyers, 'A constrained optimization approach to the blind estimation of Volterra kernels', Proc. of the IEEE International Conf on ASSP. vol.3, pp.2373-2376, 1997
- G.K. Kaleh, R. Vallet, 'Joint parameter estimation and symbol detection for linear or nonlinear unknown channels', IEEE Trans, Commun. vol.42, pp.2406-2413, 1994 https://doi.org/10.1109/26.297849
- H. Lin, K. Yamashita, 'Hybrid simplex genetic algorithm for blind equalization using RBF networks', Mathematics and Computers in Simulation, vol.59, pp.293-304, 2002 https://doi.org/10.1016/S0378-4754(01)00364-0
- J.H. Holland, Adaptation in Natural and Artificial Systems, Ann Arbor, MI: Univ. Michigan Press, 1975
- D.E. Goldberg, Genetic algorithms in search, optimization and machine learning, Addison-Wesley, Reading, MA, 1989
- S. Kirkpatrick, C.D. Gelatt Jr., and M.P. Vecchi, 'Optimization by simulated annealing', Science, vol. 220, no. 4598, pp. 671-680, 1983 https://doi.org/10.1126/science.220.4598.671
- F. Romeo and A. Sangiovanni-Vincentelli, 'A theoretical framework for simulated annealing', Algorithmica, vol. 6, pp. 302-345, 1991 https://doi.org/10.1007/BF01759049
- D.F. Specht, 'Generation of polynomial discriminant functions for pattern recognition', IEEE Trans. Electron. Comput., vol. EC-16, pp.308-319, 1967 https://doi.org/10.1109/PGEC.1967.264667
- R.O. Duda, P.E. Hart, Pattern Classification and Scene Analysis, New York, Wiley, 1973
- S. Chen, B. Mulgrew, P.M. Grant, 'A Clustering Technique for Digital Communications Channel Equalization Using Radial Basis Function Networks', IEEE Trans. Neural Networks, vol.4, pp.570-579, 1993 https://doi.org/10.1109/72.238312
- H. Lin, K. Yamashita, 'Blind equalization using parallel Bayesian decision feedback equalizer', Mathematics and Computers in Simulation, vol.56, pp.247-257, 2001 https://doi.org/10.1016/S0378-4754(01)00276-2
- A.H. Mantawy, Y.L. Abdel-Magid, S.Z. Selim, 'Integrating genetic algorithms, tabu search, and simulated annealing for the unit commitment problem', IEEE Trans. Power Systems, vol. 14, no.3, pp. 829-836, Aug. 1999 https://doi.org/10.1109/59.780892
- B. Li and W. Jiang, 'A novel stochastic optimization algorithm', IEEE Trans. SMC-B, vol. 30, no.1, pp. 193-198, Feb. 2000
- G. Alpaydin, G. Dundar, and S. Balkir, 'Evolution-based design of neural fuzzy networks using self-adapting genetic parameters', IEEE Trans. Fuzzy Systems, vol. 10, no.2, pp. 211-221, Apr. 2002 https://doi.org/10.1109/91.995122
- S. Chen, G.J. Gibson, C.F. Cowan, P.M. Grant, 'Adaptive equalization of finite non-linear channels using multiplayer perceptrons', Signal Process, vol.20, pp.107-119, 1990 https://doi.org/10.1016/0165-1684(90)90122-F