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- W2044312676 abstract "In this paper, we introduce a statistical data-correction framework that aims at improving the DSP system performance in presence of unreliable memories. The proposed signal processing framework implements best-effort error mitigation for signals that are corrupted by defects in unreliable storage arrays using a statistical correction function extracted from the signal statistics, a data-corruption model, and an application-specific cost function. An application example to communication systems demonstrates the efficacy of the proposed approach." @default.
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- W2044312676 date "2014-11-01" @default.
- W2044312676 modified "2023-10-01" @default.
- W2044312676 title "Statistical data correction for unreliable memories" @default.
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- W2044312676 doi "https://doi.org/10.1109/acssc.2014.7094797" @default.
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