A new recurrent wavelet neural networks for adaptive equalization
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Yang Chen | Yi Sun | Xiao-liang Luo | Xiangli Lin | Jin Lu
[1] Rudolph van der Merwe,et al. The unscented Kalman filter for nonlinear estimation , 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).
[2] Stephen J. Roberts,et al. Supervised and unsupervised learning in radial basis function classifiers , 1994 .
[3] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[4] Aurobinda Routray,et al. Communication channel equalization using wavelet network , 2006, Digit. Signal Process..
[5] Paramasivan Saratchandran,et al. Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm , 1998, IEEE Trans. Neural Networks.
[6] S. Qureshi,et al. Adaptive equalization , 1982, Proceedings of the IEEE.
[7] Jeffrey K. Uhlmann,et al. New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.
[8] S. Haykin,et al. Adaptive Filter Theory , 1986 .
[9] Elias S. Manolakos,et al. Using recurrent neural networks for adaptive communication channel equalization , 1994, IEEE Trans. Neural Networks.
[10] Qinghua Zhang,et al. Wavelet networks , 1992, IEEE Trans. Neural Networks.
[11] P J Webros. BACKPROPAGATION THROUGH TIME: WHAT IT DOES AND HOW TO DO IT , 1990 .