R. Zayani, R. Bouallegue, and D. Roviras, An Adaptive Neural Network Pre-Distorter for non stationary HPA in OFDM Systems, 15th European Signal Processing Conference EUSIPCO, 2007.
URL : https://hal.archives-ouvertes.fr/hal-02457895

E. Castillo, B. Berdinas, O. Romero, and A. Betanzos, A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis, Journal of Machine Learning Research, vol.7, pp.1159-1182, 2006.

Y. Ding, I. Nilkhamhang, and A. Sano, An Adaptive Nonlinearity Compensation Scheme for OFDM Communication Systems, Proceedings of the 6th World Congress on Intelligent Control and Automation, 2006.

R. Zayani and R. Bouallegue, A neural Network Pre-distorter for the compensation of HPA non-linearity, International Journal of Coputer Science and Network Security, 2007.

Y. Wang, S. Kim, and J. C. Principe, Comparison of TDNN Training Algorithms in Brain Machine Interfaces, International Joint Conference on Neural Networks, 2005.

U. Seiffert, Training of Large-Scale Feed-Forward Neural Networks, International Joint Conference on Neural Networks, 2006.

A. A. Saleh, Frequency-independent and frequencydependent nonlinear models of TWT amplifiers, IEEE Trans. Commun, vol.29, pp.1715-1720, 1981.

J. Li and J. Ilow, Adaptive Volterra predistorters for compensation of non-linear effects with memory in OFDM transmitters, Proceeding of the 4th Annual Communication Networks and Services Research Conference (CNSR'06), 2006.