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Distributed source-channel coding using reduced-complexity syndrome-based TTCM

Distributed source-channel coding using reduced-complexity syndrome-based TTCM
Distributed source-channel coding using reduced-complexity syndrome-based TTCM
In the context of distributed joint source-channel coding, we conceive reduced-complexity turbo trellis coded modulation (TTCM)-aided syndrome-based block decoding for estimating the cross-over probability pe of the binary symmetric channel, which models the correlation between a pair of sources. Our joint decoder achieves an accurate correlation estimation for varying correlation coefficients at 3 dB lower SNR, than conventional TTCM decoder, despite its considerable complexity reduction.
2095-2098
Aljohani, Abdulah
17a5b60f-634e-49c0-a4bc-6c6d40a25532
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
Ng, Michael
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Aljohani, Abdulah
17a5b60f-634e-49c0-a4bc-6c6d40a25532
Babar, Zunaira
23ede793-1796-449d-b5aa-93a297e5677a
Ng, Michael
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Aljohani, Abdulah, Babar, Zunaira, Ng, Michael and Hanzo, Lajos (2016) Distributed source-channel coding using reduced-complexity syndrome-based TTCM. IEEE Communications Letters, 20 (10), 2095-2098. (doi:10.1109/LCOMM.2016.2584598).

Record type: Article

Abstract

In the context of distributed joint source-channel coding, we conceive reduced-complexity turbo trellis coded modulation (TTCM)-aided syndrome-based block decoding for estimating the cross-over probability pe of the binary symmetric channel, which models the correlation between a pair of sources. Our joint decoder achieves an accurate correlation estimation for varying correlation coefficients at 3 dB lower SNR, than conventional TTCM decoder, despite its considerable complexity reduction.

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More information

Accepted/In Press date: 21 June 2016
e-pub ahead of print date: 23 June 2016
Published date: October 2016
Organisations: Comms, Signal Processing & Control, Southampton Wireless Group
Learn more about Southampton Wireless Group research

Identifiers

Local EPrints ID: 404413
URI: http://eprints.soton.ac.uk/id/eprint/404413
DOI: doi:10.1109/LCOMM.2016.2584598
PURE UUID: 2401f4de-253c-4a62-a2ae-0228919e06b3
ORCID for Zunaira Babar: ORCID iD orcid.org/0000-0002-7498-4474
ORCID for Michael Ng: ORCID iD orcid.org/0000-0002-0930-7194
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 09 Jan 2017 10:05
Last modified: 18 Mar 2024 03:23

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Contributors

Author: Abdulah Aljohani
Author: Zunaira Babar ORCID iD
Author: Michael Ng ORCID iD
Author: Lajos Hanzo ORCID iD

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