Zobrazeno 1 - 10
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pro vyhledávání: '"Y.V. Zakharov"'
Akademický článek
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Publikováno v:
Современные проблемы науки и образования (Modern Problems of Science and Education). :25-25
Publikováno v:
IEEE Transactions on Wireless Communications. 6:1224-1229
We propose novel low-complexity iterative channel estimators based on B-splines. Local splines are adopted for computational simplicity. Minimum mean square error (MMSE) local splines with integral sampling are derived. The MSE of the proposed estima
Akademický článek
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Autor:
Y.V. Zakharov, T.C. Tozer
Publikováno v:
ICASSP (3)
Spectral domain B-spline identification is proposed for acoustic echo cancellation. Two approaches are considered. The first is based on the solution of normal equations; we describe an efficient technique for such a solution, which benefits from the
Publikováno v:
2005 IEEE 61st Vehicular Technology Conference.
A novel iterative B-spline channel estimation technique for space-time block coded (STBC) systems over fast flat fading channels is proposed. The optimal linear minimum mean square error (LMMSE) multiple-input and multiple-output (MIMO) channel estim
Publikováno v:
ICC
A novel B-spline iterative channel estimation technique over fast flat fading channels is proposed. Both local linear and parabolic splines are considered. The optimal sampling interval is found by simulations and then approximated by a simple equati
Autor:
T.C. Tozer, Y.V. Zakharov
Publikováno v:
IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, 2004..
Multiuser detection can often be described as a constrained quadratic optimisation problem. Many iterative techniques are available to solve this problem; however, due to high complexity they cannot be effectively implemented in real-time. We propose
Publikováno v:
PIMRC
We investigate how pilot signals affect complexity and accuracy of maximum likelihood (ML) frequency estimation in frequency-flat channels with transmit diversity. We show that for arbitrary pilot signals, the complexity can be as low as O(N/sub t/),
Publikováno v:
ICC
Maximum likelihood (ML) data-aided frequency estimation in multipath Rayleigh fading channels with sparse impulse responses is investigated. We solve this problem under the assumption that the autocorrelation matrix of the pilot signal can be approxi