Open Access
Issue
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
Article Number 01010
Number of page(s) 9
Section Computer Technology and System Design
DOI https://doi.org/10.1051/itmconf/20224501010
Published online 19 May 2022
  1. F. Pancaldi, G. M. Vitetta, R. Kalbasi, N. Al-Dhahir, M. Uysal and H. Mheidat, “Single-carrier frequency domain equalization, ” in IEEE Signal Processing Magazine. 25(5), 37-56, (2008) [CrossRef] [Google Scholar]
  2. D. Falconer, S. L. Ariyavisitakul, A. Benyamin-Seeyar and B. Eidson, “Frequency domain equalization for single-carrier broadband wireless systems, ” in IEEE Communications Magazine. 40(4), 58-66, (2002) [CrossRef] [Google Scholar]
  3. L. Cimini, “Analysis and Simulation of a Digital Mobile Channel Using Orthogonal Frequency Division Multiplexing, ” in IEEE Transactions on Communications. 33(7), 665-675, (1985) [CrossRef] [Google Scholar]
  4. Douillard C, Jezequel M, Berrou C, Picart A, Didier P, and Glavieux A. Iterative correction of intersymbol interference: Turbo equalization[J]. European Trans. Telecommun., 507-511 (1995) [CrossRef] [Google Scholar]
  5. R. Koetter, A. C. Singer and M. Tuchler, “Turbo equalization, ” in IEEE Signal Processing Magazine. 21(1), 67-80, (2004) [CrossRef] [Google Scholar]
  6. X.D. Wang and H. V. Poor, “Iterative (turbo) soft interference cancellation and decoding for coded CDMA, ” in IEEE Transactions on Communications. 47(7), 10461061, (1999) [Google Scholar]
  7. M. Tuchler, R. Koetter and A. C. Singer, “Turbo equalization: principles and new results, ” in IEEE Transactions on Communications. 50(5), 754-767, (2002) [CrossRef] [Google Scholar]
  8. Q. Guo and L. Ping, “LMMSE turbo equalization based on factor graphs, ” in IEEE Journal on Selected Areas in Communications. 26(2), 311-319, (2008) [CrossRef] [Google Scholar]
  9. S. Rangan, “Generalized approximate message passing for estimation with random linear mixing, ” 2011 IEEE International Symposium on Information Theory Proceedings. 2168-2172 (2011) [CrossRef] [Google Scholar]
  10. Q. Guo, D. Huang, S. Nordholm, J. Xi and Y. Yu, “Iterative Frequency Domain Equalization With Generalized Approximate Message Passing, ” in IEEE Signal Processing Letters. 20(6), 559-562, (2013) [CrossRef] [Google Scholar]
  11. Ghassan Kawas Kaleh and R. Vallet, “Joint parameter estimation and symbol detection for linear or nonlinear unknown channels, ” in IEEE Transactions on Communications. 42(7), 2406-2413, (1994) [CrossRef] [Google Scholar]
  12. Seongwook Song, A. C. Singer and Koeng-Mo Sung, “Soft input channel estimation for turbo equalization, ” in IEEE Transactions on Signal Processing. 52(10), 2885-2894, (2004) [CrossRef] [Google Scholar]
  13. R. Otnes and M. Tuchler, “Iterative channel estimation for turbo equalization of timevarying frequency-selective channels, ” in IEEE Transactions on Wireless Communications. 3(6), 1918-1923, (2004) [CrossRef] [Google Scholar]
  14. D. Chu, “Polyphase codes with good periodic correlation properties (Corresp.), ” in IEEE Transactions on Information Theory. 18(4), 531-532, (1972) [CrossRef] [Google Scholar]
  15. S. Rangan, P. Schniter and A. K. Fletcher, “Vector approximate message passing, ” 2017 IEEE International Symposium on Information Theory (ISIT), 1588-1592 (2017) [CrossRef] [Google Scholar]
  16. A. A. M. Saleh and R. Valenzuela, “A Statistical Model for Indoor Multipath Propagation, ” in IEEE Journal on Selected Areas in Communications, 5(2), 128-137, (1987). [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.