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Distributed scalar quantizers for noisy channels
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7926-5081
2007 (English)In: 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2007, 633-636 p.Conference paper, Published paper (Refereed)
Abstract [en]

Sensor nodes in wireless sensor networks should preferable be both cheap and energy efficient. To cope with these requirements an algorithm for designing distributed scalar quantizers optimized for noisy channels is proposed and evaluated. Applying the algorithm results in locally optimal systems. It is demonstrated that the correlation between the sources can be used to reduce the quantization distortion when the channel is close to error-free. If, on the other hand, there are a lot of disturbances on the channel the correlation can be used to introduce protection against channel errors.

Place, publisher, year, edition, pages
2007. 633-636 p.
Series
International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
Keyword [en]
multisensor systems, distributed estimation, quantization, joint source-channel coding
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-28992DOI: 10.1109/ICASSP.2007.366759ISI: 000248906600159Scopus ID: 2-s2.0-34547509319OAI: oai:DiVA.org:kth-28992DiVA: diva2:395589
Conference
32nd IEEE International Conference on Acoustics, Speech and Signal Processing Honolulu, HI, APR 15-20, 2007
Note
QC 20110207Available from: 2011-02-07 Created: 2011-01-25 Last updated: 2011-02-07Bibliographically approved

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Skoglund, Mikael

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