Finite alphabet iterative decoders for LDPC codes surpassing floating-point iterative decoders
Overview & Synopsis
Introduced is a new type of message-passing (MP) decoders for lowdensity parity-check (LDPC) codes over the binary symmetric channel. Unlike traditional belief propagation (BP) based MP algorithms which propagate probabilities or log-likelihoods, the new MP decoders propagate messages requiring only a finite number of bits for their representation in such a way that good performance in the error floor region is ensured. Additionally, these messages are not quantised probabilities or log-likelihoods. As examples, MP decoders are provided that require only three bits for message representation, but surpass the floating-point BP (which requires a large number of bits for representation) in the error-floor region.
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Document Information
| Document Title | Finite alphabet iterative decoders for LDPC codes surpassing floating-point iterative decoders |
|---|---|
| Author / Organization | Shiva K. Planjery, David Declercq, Ludovic Danjean, Bane Vasic |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2011 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-224928 |
| Original Source Link | Visit Source Page on hal.science » |