Linear MMSE-optimal turbo equalization using context trees

K Kim, N Kalantarova, SS Kozat… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Formulations of the turbo equalization approach to iterative equalization and decoding vary
greatly when channel knowledge is either partially or completely unknown. Maximum …
被引用次数：17 相关文章
[PDF] archive.org

[PDF][PDF] Linear MMSE-Optimal Turbo Equalization Using Context Trees

K Kim, N Kalantarova, SS Kozat… - IEEE TRANSACTIONS …, 2013 - scholar.archive.org
Formulations of the turbo equalization approach to iterative equalization and decoding vary
greatly when channel knowledge is either partially or completely unknown. Maximum …
[PDF] bilkent.edu.tr

[PDF][PDF] Linear MMSE-Optimal Turbo Equalization Using Context Trees

K Kim, N Kalantarova, SS Kozat… - IEEE TRANSACTIONS …, 2013 - yoksis.bilkent.edu.tr
Formulations of the turbo equalization approach to iterative equalization and decoding vary
greatly when channel knowledge is either partially or completely unknown. Maximum …
[PDF] bilkent.edu.tr

[PDF][PDF] Linear MMSE-Optimal Turbo Equalization Using Context Trees

K Kim, N Kalantarova, SS Kozat… - IEEE TRANSACTIONS …, 2013 - repository.bilkent.edu.tr
Formulations of the turbo equalization approach to iterative equalization and decoding vary
greatly when channel knowledge is either partially or completely unknown. Maximum …
[PDF] core.ac.uk

[PDF][PDF] Linear MMSE-Optimal Turbo Equalization Using Context Trees

K Kim, N Kalantarova, SS Kozat… - IEEE TRANSACTIONS ON …, 2013 - core.ac.uk
Formulations of the turbo equalization approach to iterative equalization and decoding vary
greatly when channel knowledge is either partially or completely unknown. Maximum …
[PDF] bilkent.edu.tr

[PDF][PDF] Linear MMSE-Optimal Turbo Equalization Using Context Trees

K Kim, N Kalantarova, SS Kozat… - IEEE TRANSACTIONS …, 2013 - kilyos.ee.bilkent.edu.tr
Formulations of the turbo equalization approach to iterative equalization and decoding vary
greatly when channel knowledge is either partially or completely unknown. Maximum …

Linear MMSE-Optimal Turbo Equalization Using Context Trees

K Kim, N Kalantarova, SS Kozat, AC Singer - IEEE Transactions on Signal …, 2013 - infona.pl
Formulations of the turbo equalization approach to iterative equalization and decoding vary
greatly when channel knowledge is either partially or completely unknown. Maximum …

[引用][C] Linear MMSE-Optimal Turbo Equalization Using Context Trees

K KIM, N KALANTAROVA, SS KOZAT… - IEEE transactions on …, 2013 - pascal-francis.inist.fr
Linear MMSE-Optimal Turbo Equalization Using Context Trees CNRS Inist Pascal-Francis CNRS
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[引用][C] Linear MMSE-Optimal Turbo Equalization Using Context Trees

K Kim, N Kalantarova, SS Kozat… - IEEE Transactions on …, 2013 - ui.adsabs.harvard.edu
Linear MMSE-Optimal Turbo Equalization Using Context Trees - NASA/ADS Now on home
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Linear MMSE-Optimal Turbo Equalization Using Context Trees

K Kim, N Kalantarova, SS Kozat… - IEEE Transactions on …, 2013 - dl.acm.org
Formulations of the turbo equalization approach to iterative equalization and decoding vary
greatly when channel knowledge is either partially or completely unknown. Maximum …