We address distributed source coding with decoder side information, when the decoder observes the source through a noisy channel. Existing approaches employ syndromeor parity-based channel codes. We propose a new approach based on distributed arithmetic coding (DAC).We introduce a DAC with forbidden symbol, which allows to tune the redundancy according to the amount of channel noise. We propose a novel sequential decoder that employs the known side information to decode the corrupted codeword. Experimental results show that the proposed scheme is better than parity-based turbo codes at relatively short block lengths
We consider the problem of transmission of several discrete sources over a multiple access channel (...
In this paper, we consider distributed source coding (DSC) problem over actual noisy channel address...
Practical decoding algorithms for channels with unknown (or varying) statistics are highly desired i...
We propose a new scheme for symmetric Slepian-Wolf coding of correlated binary sources. Unlike previ...
In this paper an innovative joint source channel coding scheme is presented. The system is based on ...
The aim of source coding is to represent information as accurately as possible using as few bits as ...
International audienceIn recent years, the turbo principle has been widely applied to various decodi...
The issue of robust and joint source-channel decoding of quasi-arithmetic codes is addressed. Quasi...
Abstract—In this paper, we study the iterative decoding of distributed channel encoded fixed-length ...
Distributed source coding (DSC) is a fundamental concept in information theory. It refers to distrib...
This correspondence considers the use of punctured quasi-arithmetic (QA) codes for the Slepian–Wolf...
In this paper, we propose a technique for coding the data from multiple correlated binary sources, w...
We propose a novel joint decoding technique for distributed source-channel (DSC) coded systems for t...
This paper proposes a distributed joint source-channel coding (DJSCC) scheme using polar-like codes....
Distributed Arithmetic Coding (DAC) is a variant of Arithmetic Coding (AC) that can realise Slepian-...
We consider the problem of transmission of several discrete sources over a multiple access channel (...
In this paper, we consider distributed source coding (DSC) problem over actual noisy channel address...
Practical decoding algorithms for channels with unknown (or varying) statistics are highly desired i...
We propose a new scheme for symmetric Slepian-Wolf coding of correlated binary sources. Unlike previ...
In this paper an innovative joint source channel coding scheme is presented. The system is based on ...
The aim of source coding is to represent information as accurately as possible using as few bits as ...
International audienceIn recent years, the turbo principle has been widely applied to various decodi...
The issue of robust and joint source-channel decoding of quasi-arithmetic codes is addressed. Quasi...
Abstract—In this paper, we study the iterative decoding of distributed channel encoded fixed-length ...
Distributed source coding (DSC) is a fundamental concept in information theory. It refers to distrib...
This correspondence considers the use of punctured quasi-arithmetic (QA) codes for the Slepian–Wolf...
In this paper, we propose a technique for coding the data from multiple correlated binary sources, w...
We propose a novel joint decoding technique for distributed source-channel (DSC) coded systems for t...
This paper proposes a distributed joint source-channel coding (DJSCC) scheme using polar-like codes....
Distributed Arithmetic Coding (DAC) is a variant of Arithmetic Coding (AC) that can realise Slepian-...
We consider the problem of transmission of several discrete sources over a multiple access channel (...
In this paper, we consider distributed source coding (DSC) problem over actual noisy channel address...
Practical decoding algorithms for channels with unknown (or varying) statistics are highly desired i...