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- W1520239025 abstract "We propose a numerical method to compute the capacity of a power constrained memoryless additive white Gaussian noise (AWGN) channel with finite and fixed input alphabets. The method is based on a two-part algorithm. The first part is a modified version of the Blahut-Arimoto algorithm and the second part is a simple maximization algorithm over a single parameter. The optimal input distribution we obtain can be utilized to construct probabilistic codes for this channel. These codes promise to bridge the shaping gap between the uniform-input information rate and the capacity of the channel." @default.
- W1520239025 created "2016-06-24" @default.
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- W1520239025 date "2004-03-22" @default.
- W1520239025 modified "2023-10-16" @default.
- W1520239025 title "Capacity of power constrained memoryless AWGN channels with fixed input constellations" @default.
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- W1520239025 doi "https://doi.org/10.1109/glocom.2002.1188416" @default.
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