참고문헌
- E. Biglieri, A. Gersho, R.D. Gitlin and T.L. Lim, "Adaptive cancellation of nonlinear intersymbol interference for voiceband data transmission", IEEE J. Selected Areas Commun., SAC-2, Vol.5, pp. 765-777, 1984
- G. B. Giannakis and E. Serpedin, "Linear multichannel blind equalizers of nonlinear FIR volterra channels," IEEE Transactions on Signal Processing, vol. 45, pp. 67-81, 1997 https://doi.org/10.1109/78.552206
- J.G. Proakis, Digital Communications, Fourth Edition, McGraw-Hill, C 2001
- E. Serpedin and G.B. Giannakis, "Blind channel identification and equalization with modulationinduced cyclostationarity", IEEE Trans. Signal Processing, Vol. 46, pp. 1930-1944, 1998 https://doi.org/10.1109/78.700965
- Y. Fang, W.S. Chow and 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
- Yun Ye and Saman S. Abeysekera, "Efficient blind estimation and equalization of non-minimum phase communication channels via the use of a zero forcing equalizer", Signal Processing, Vol. 86, pp.1019-1034, 2006 https://doi.org/10.1016/j.sigpro.2005.07.021
- T. Stathaki and A. Scohyers, "A constrained optimization approach to the blind estimation of Volterra kernels", Proc. IEEE Int. Conf on ASSP, Vol. 3, pp. 2373-2376, 1997 https://doi.org/10.1109/ICASSP.1997.599530
- G.K. Kaleh and 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
- D. Erdogmus, D. Rende, lC. Principe and T.F. Wong, "Nonlinear channel equalization using multilayer perceptrons with information theoretic criterion", Proc. of IEEE workshop Neural Networks and Signal Processing, pp. 443-451, MA, U.S.A., 2001 https://doi.org/10.1109/NNSP.2001.943148
- I. Santamaria, C. Pantaleon, L. Vielva and l Ibanez, "Blind Equalization of Constant Modulus Signals Using Support Vector Machines", IEEE Trans. Signal Processing, Vol. 52, pp. 1773-1782, 2004 https://doi.org/10.1109/TSP.2004.827176
- R. Lopez- Valcarce and S. Dasgupta, "Blind equalization of nonlinear channels from secondorder statistics," IEEE Transactions on Signal Processing, vol. 49, pp. 3084-3097, 2001 https://doi.org/10.1109/78.969516
- G. Raz and B. Van Veen, "Blind equalization and identification of nonlinear and IIR systems-a least squares approach", IEEE Trans. Signal Processing, Vol. 48, pp. 192-200, 2000 https://doi.org/10.1109/78.815489
- H. Lin and 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
- S. Han, W. Pedrycz and C. Han, "Nonlinear Channel Blind Equalization U sing Hybrid Genetic Algorithm with Simulated Annealing", Mathematical and Computer Modeling, Vol. 41, pp. 697-709, 2005 https://doi.org/10.1016/j.mcm.2004.05.006
- S. Han, "A Modified FCM for Nonlinear Blind Channel Equalization using RBF Networks," International Journal of KlMlCS, Vol. 5, pp. 35-41,2007
- R.O. Duda and P.E. Hart, Pattern Classification and Scene Analysis, Wiley, New York, 1973
- S. Chen, B. Mulgrew and M. Grant, "A clustering technique for digital communication channel equalization using radial basis function network", IEEE Trans. Neural Networks, Vol. 4, pp. 570-579, 1993 https://doi.org/10.1109/72.238312
- H. Lin and 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
- J.C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981
- S.K. patra and B. Mulgrew, "Fuzzy techniques for adaptive nonlinear equalization," Signal Processing, Vol.80, pp.985-1000, 2000 https://doi.org/10.1016/S0165-1684(00)00015-3