Decoder-driven adaptive distributed arithmetic coding

We propose a distributed source coding system for data collected by sensor networks. It uses a feedback channel between the sensors and the gateway node (i.e., the joint decoder) but, unlike previous systems, the encoding process is driven by the decoder. Compression is performed using distributed a...

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Bibliographic Details
Published in:2008 15th IEEE International Conference on Image Processing pp. 1128 - 1131
Main Authors: Grangetto, M., Magli, E., Olmo, G.
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2008
Subjects:
adaptive arithmetic coding
Adaptive systems
Arithmetic
arithmetic coding
Decoding
Delay
Distributed source coding
Drives
Entropy
Feedback
Parity check codes
sensor networks
Sensor systems
Source coding
ISBN:9781424417650, 1424417651
ISSN:1522-4880
Online Access:Get full text
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Summary:We propose a distributed source coding system for data collected by sensor networks. It uses a feedback channel between the sensors and the gateway node (i.e., the joint decoder) but, unlike previous systems, the encoding process is driven by the decoder. Compression is performed using distributed arithmetic coding, which is extended to adaptively estimate the source probabilities. Specifically, the decoder estimates marginal and conditional probabilities, and sends them back to the sensors to drive the distributed arithmetic coding process. This reduces the decoding delay, and potentially eliminates the need of rate-compatible Slepian-Wolf codes.
ISBN:9781424417650
1424417651
ISSN:1522-4880
DOI:10.1109/ICIP.2008.4711958