Combining the Burrows-Wheeler Transform and RCM-LDGM Codes for the Transmission of Sources with Memory at High Spectral Efficiencies

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ID: 266600
2019
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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.
Reference Key
granada2019entropycombining Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Imanol Granada;Pedro M. Crespo;Javier Garcia-Frías;Granada, Imanol;Crespo, Pedro M.;Garcia-Frías, Javier;
Journal entropy
Year 2019
DOI
10.3390/e21040378
URL
https://www.mdpi.com/1099-4300/21/4/378/htm
Keywords
hidden markov models burrows-wheeler transform markov processes rate adaptation rcm-ldgm codes

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