Minimum mean squared error equalization using a priori information
IEEE Transactions on Signal Processing
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IEEE Transactions on Signal Processing
IEEE Journal on Selected Areas in Communications
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In this paper, an efficient computational scheme is proposed to calculate the symbol mean and variance from bit a priori information, when a so-called multilinear mapping is employed. The multilinear mapping is exploited to reduce the number of the terms needed for the calculation of the symbol mean and variance.