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- W2101131904 abstract "This paper presents a structured optimization framework for reducing the computational complexity of LDPC decoders. Subject to specified performance constraints and adaptive to environment conditions, the proposed framework leverages the adjustable performance-complexity tradeoffs of the decoder to deliver satisfying performance with minimum computational complexity. More specifically, two constraint scenarios are studied: the “good-enough” performance and “as-good-as-possible performance”. Moreover, we also investigate the effects of different degrees of freedom in performance-complexity tradeoff adjustments. The effectiveness of the proposed method has been verified by simulating a set of LDPC codes used in IEEE 802.11 and IEEE 802.16 standards. Computational complexity reductions of up to 35% have been observed." @default.
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- W2101131904 date "2014-09-01" @default.
- W2101131904 modified "2023-09-22" @default.
- W2101131904 title "Reducing the complexity of LDPC decoding algorithms: An optimization-oriented approach" @default.
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- W2101131904 doi "https://doi.org/10.1109/pimrc.2014.7136286" @default.
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