7th International Conference on Body Area Networks

Research Article

Sum-Rate Distortion Bound for Suboptimal Multiterminal Source Coding Applied in Medical Wireless Sensor Networks

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  • @INPROCEEDINGS{10.4108/icst.bodynets.2012.249975,
        author={Hieu Nguyen and Tor Ramstad and Ilangko Balasingham},
        title={Sum-Rate Distortion Bound for Suboptimal Multiterminal Source Coding Applied in Medical Wireless Sensor Networks},
        proceedings={7th International Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2012},
        month={11},
        keywords={multiterminal source coding high fidelity distortion scalar quantization asymptotic performance},
        doi={10.4108/icst.bodynets.2012.249975}
    }
    
  • Hieu Nguyen
    Tor Ramstad
    Ilangko Balasingham
    Year: 2012
    Sum-Rate Distortion Bound for Suboptimal Multiterminal Source Coding Applied in Medical Wireless Sensor Networks
    BODYNETS
    ICST
    DOI: 10.4108/icst.bodynets.2012.249975
Hieu Nguyen1,*, Tor Ramstad1, Ilangko Balasingham1
  • 1: Norwegian University of Science and Technology
*Contact email: hieu.nguyen@iet.ntnu.no

Abstract

In this paper, we derive the suboptimal sum-rate distortion bound for encoding correlated Gaussian sources for which the uniform scalar quantizers are used to convert the signals from analog to the discrete form. The correlated discrete signals are further compressed using the lossless Slepian and Wolf encoder. The gap between the suboptimal bound and the inner/outer bounds is also investigated. The result shows that the gap is at most 0.255 bits/sample/source which is far less than the universal bound of 2.45 bits/sample given in M. Maddah-Ali and et al for the three tree-structured Gaussian sources.