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- W2140253920 startingPage "4427" @default.
- W2140253920 abstract "Departing from traditional communication theory where decoding algorithms are assumed to perform without error, a system where noise perturbs both computational devices and communication channels is considered here. This paper studies limits in processing noisy signals with noisy circuits by investigating the effect of noise on standard iterative decoders for low-density parity-check (LDPC) codes. Concentration of decoding performance around its average is shown to hold when noise is introduced into message-passing and local computation. Density evolution equations for simple faulty iterative decoders are derived. In one model, computing nonlinear estimation thresholds shows that performance degrades smoothly as decoder noise increases, but arbitrarily small probability of error is not achievable. Probability of error may be driven to zero in another system model; the decoding threshold again decreases smoothly with decoder noise. As an application of the methods developed, an achievability result for reliable memory systems constructed from unreliable components is provided." @default.
- W2140253920 created "2016-06-24" @default.
- W2140253920 creator A5065423139 @default.
- W2140253920 date "2011-07-01" @default.
- W2140253920 modified "2023-10-17" @default.
- W2140253920 title "Performance of LDPC Codes Under Faulty Iterative Decoding" @default.
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- W2140253920 doi "https://doi.org/10.1109/tit.2011.2145870" @default.
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