Open Access
Issue
ITM Web Conf.
Volume 17, 2018
4th Annual International Conference on Wireless Communication and Sensor Network (WCSN 2017)
Article Number 01005
Number of page(s) 10
Section Session 1: Wireless Communication
DOI https://doi.org/10.1051/itmconf/20181701005
Published online 02 February 2018
  1. L. Wu, “UNB modulation in high speed space communications,” Proc. of ICSIT, 6795, 679 (2007) [Google Scholar]
  2. M. Feng, L. Wu, “Special non-linear filter and extension to Shannon’s channel capacity,” Digital Signal Processing, 19, 5, (2009) [CrossRef] [Google Scholar]
  3. M. Feng, L. Wu, P. Gao, “From special analogous crystal filters to digital impacting filters,” Academic Press, Inc. (2012) [Google Scholar]
  4. C. Lu, L. Wu, P. Chen, J. Wang, “M-ary phase position shift keying with orthogonal signalling,” IET Communications, 9, 12, (2015) [Google Scholar]
  5. L. Wu, M. Feng, “On BER performance of EBPSK-MODEM in AWGN channel,” Sensors, 10, 4, (2010) [Google Scholar]
  6. P. P. Vaidyanathan, P. Regalia, S. K. Mitra, “Design of doublycomplementary IIR digital filters, using a single complex allpass filter,” in Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP, (1986) [Google Scholar]
  7. A. V. Oppenheim, R. W. Schafer, “Discrete-time signal processing,” 23, 2, (1989) [Google Scholar]
  8. C. Qi, L. Wu, “Pll demodulation technique for m-ray position phase shift keying,” Journal of Electronics (China), 26, 3, (2009) [Google Scholar]
  9. L. Wu, H. Feng, “Extended binary phase shift keying modulation and demodulation method for frequency spectrum compression,” (2009) [Google Scholar]
  10. Z. Chen, L. Wu, P. Chen, “Efficient modulation and demodulation methods for multicarrier communication,” IET Communications, 10, 5, (2016) [Google Scholar]
  11. J. G. Proakis, M. Salehi, Digital Communications. (New York: McGraw-Hill, 1995) [Google Scholar]
  12. C. A. Belfiore, J. Park, John H, “Decision feedback equalization,” Proceedings of the IEEE, 67, 8, (1979) [CrossRef] [Google Scholar]
  13. P. E. Keller, Artificial Neural Networks: An Introduction (2005) [Google Scholar]
  14. H. Wei, H. Huang, S. S. Ge, “Adaptive neural network control of a robotic manipulator with time-varying output constraints,” IEEE Transactions on Cybernetics, 47, 10, (2017) [Google Scholar]
  15. A. Krizhevsky, I. Sutskever, G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in International Conference on Neural Information Processing Systems, (2012) [Google Scholar]
  16. P. A. Haigh, Z. Ghassemlooy, I. Papakonstantinou, S. Rajbhandari, “Online artificial neural network equalization for a visible light communications system with an organic light emitting diode based transmitter,” in Network and Optical Communications, (2013) [Google Scholar]
  17. O. B. Belkacem, R. Zayani, M. L. Ammari, R. Bouallegue, D. Roviras, “Neural network equalization for frequency selective nonlinear mimo channels,” in Computers and Communications, (2012) [Google Scholar]
  18. P. Ying, L. Wu, “New scheme of MPPSK modem,” Journal of Southeast University, (2012) Abramson2006Pattern [Google Scholar]
  19. V. Koltchinskii, “Neural network learning: Theoretical foundations,” Annales De L Institut Henri Poincare Probabilites Et Statistiques, 39, 6, (2003) [Google Scholar]
  20. X. Glorot, A. Bordes, Y. Bengio, “Deep sparse rectifier neural networks,” in International Conference on Artificial Intelligence and Statistics, (2011) [Google Scholar]
  21. Y. LeCun, Y. Bengio, G. Hinton, “Deep learning,” Nature, 521, 7553, (2015) [CrossRef] [PubMed] [Google Scholar]
  22. N. Abramson, D. Braverman, G. Sebestyen, Pattern recognition and machine learning. (Springer, 2006) [Google Scholar]
  23. D. P. Kingma, J. Ba, “Adam: A method for stochastic optimization,” Computer Science, (2014) [Google Scholar]

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