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- Title
Combining the Burrows-Wheeler Transform and RCM-LDGM Codes for the Transmission of Sources with Memory at High Spectral Efficiencies.
- Authors
Granada, Imanol; Crespo, Pedro M.; Garcia-Frías, Javier
- Abstract
In this paper, we look at the problem of implementing high-throughput Joint Source- Channel (JSC) coding schemes for the transmission of binary sources with memory over AWGN channels. The sources are modeled either by a Markov chain (MC) or a hidden Markov model (HMM). We propose a coding scheme based on the Burrows-Wheeler Transform (BWT) and the parallel concatenation of Rate-Compatible Modulation and Low-Density Generator Matrix (RCM-LDGM) codes. The proposed scheme uses the BWT to convert the original source with memory into a set of independent non-uniform Discrete Memoryless (DMS) binary sources, which are then separately encoded, with optimal rates, using RCM-LDGM codes.
- Subjects
MARKOV processes; COMBINED source-channel coding; DISCRETE memoryless channels; INFORMATION theory; CHANNEL coding
- Publication
Entropy, 2019, Vol 21, Issue 4, p378
- ISSN
1099-4300
- Publication type
Article
- DOI
10.3390/e21040378