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1
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17644366813
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Mutual information and minimum mean-square error in Gaussian channels
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DOI 10.1109/TIT.2005.844072
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D. Guo, S. Shamai, and S. Verdú, "Mutual Information and Minimum Mean Square Error in Gaussian Channels," IEEE Transactions on Information Theory, vol. 51, pp. 1261-1282, 2005. (Pubitemid 40555875)
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IEEE Transactions on Information Theory
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Guo, D.1
Shamai, S.2
Verdu, S.3
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2
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33144485285
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Gradient of mutual information in linear vector Gaussian channels
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DOI 10.1109/TIT.2005.860424
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D. P. Palomar and S. Verdú, "Gradient of Mutual Information in Linear Vector Gaussian Channels," IEEE Transactions on Information Theory, vol. 52, pp. 141-154, 2006. (Pubitemid 43263124)
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IEEE Transactions on Information Theory
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Palomar, D.P.1
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3
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77949529945
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MIMO Gaussian Channels with Arbitrary Inputs: Optimal Precoding and Power Allocation
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F. Perez-Cruz, M. R. Rodrigues, and S. Verdú, "MIMO Gaussian Channels with Arbitrary Inputs: Optimal Precoding and Power Allocation, "IEEE Transactions on Information Theory, vol. 56, pp. 1070-1084, 2010.
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IEEE Transactions on Information Theory
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Perez-Cruz, F.1
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6
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79551628913
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Mutual Information of MIMO Transmission over Correlated Channels with Finite Symbol Alphabets and Link Adaption
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accepted for publication
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E. Ohlmer, U. Wachsmann, and G. Fettweis, "Mutual Information of MIMO Transmission over Correlated Channels with Finite Symbol Alphabets and Link Adaption," in IEEE Global Communications Conference, accepted for publication, 2010.
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(2010)
IEEE Global Communications Conference
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Ohlmer, E.1
Wachsmann, U.2
Fettweis, G.3
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7
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33746879933
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Optimum power allocation for parallel gaussian channels with arbitrary input distributions
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DOI 10.1109/TIT.2006.876220
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A. Lozano, A. M. Tulino, and S. Verdu, "Optimum Power Allocation for Parallel Gaussian Channels with Arbitrary Input Distributions," IEEE Transactions on Information Theory, vol. 52, pp. 3033-3051, 2006. (Pubitemid 44192966)
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IEEE Transactions on Information Theory
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, Issue.7
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Lozano, A.1
Tulino, A.M.2
Verdu, S.3
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10
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68249162111
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Hessian and Concavity of Mutual Information, Differential Entropy, and Entropy Power in Linear Vector Gaussian Channels
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M. Payaro and D. P. Palomar, "Hessian and Concavity of Mutual Information, Differential Entropy, and Entropy Power in Linear Vector Gaussian Channels," IEEE Transactions on Information Theory, vol. 55, pp. 3613-3628, 2009.
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IEEE Transactions on Information Theory
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Payaro, M.1
Palomar, D.P.2
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11
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12444297621
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An information-theoretic framework for deriving canonical decision-feedback receivers in Gaussian channels
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DOI 10.1109/TIT.2004.839506
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T. Guess and M. K. Varanasi, "An Information-Theoretic Framework for Deriving Canonical Decision Feedback Receivers in Gaussian Channels,"IEEE Transactions on Information Theory, vol. 51, pp. 173-187, 2005. (Pubitemid 40145994)
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(2005)
IEEE Transactions on Information Theory
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, Issue.1
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Guess, T.1
Varanasi, M.K.2
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