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Low complexity bandwidth compression mappings for sensor networks
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9307-484X
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2010 (English)In: Final Program and Abstract Book: 4th International Symposium on Communications, Control and Signal Processing, Limassol, 2010, Vol. ISCCSP 2010Conference paper, Published paper (Refereed)
Abstract [en]

Compressive (2:1) joint source-channel coding using direct mappings from source to channel symbol space is considered. To enable the use of prior information due to e.g. correlated samples at the receiver, or statistical knowledge of the source, minimum mean square error decoding is considered. The prior information is incorporated in the form of the a-priori distribution in the decoding. Four mapping methods are presented and evaluated using the generic Bayesian minimum mean square error estimator. The schemes are evaluated for transmitting a memoryless Gaussian source over additive white Gaussian noise channel with a quadratic distortion measure. The simplicity of implementation and applicability to a wider variety of sources is discussed.

Place, publisher, year, edition, pages
Limassol, 2010. Vol. ISCCSP 2010
Keyword [en]
Additive white Gaussian noise channel, Apriori, Bayesian, Channel symbols, Direct mapping, Gaussian sources, Joint source-channel coding, Low complexity, Mapping method, Minimum mean square errors, Minimum mean-square error estimators, Prior information, Quadratic distortion, Statistical knowledge, Bandwidth compression, Block codes, Data compression, Digital communication systems, Mapping, Mean square error, Signal processing, White noise, Decoding
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-30316DOI: 10.1109/ISCCSP.2010.5463302Scopus ID: 2-s2.0-77953816100ISBN: 9781424462858 (print)OAI: oai:DiVA.org:kth-30316DiVA: diva2:400428
Conference
4th International Symposium on Communications, Control, and Signal Processing, ISCCSP-2010; Limassol
Note

QC 20110225

Available from: 2011-02-25 Created: 2011-02-23 Last updated: 2016-05-25Bibliographically approved

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Thobaben, Ragnar

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  • apa
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Output format
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