1 Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University, VBN2 The Faculty of Engineering and Science (TECH), Aalborg University, VBN3 Antennas, propagation and radio networking, The Technical Faculty of IT and Design, Aalborg University, VBN4 MassM2M, The Technical Faculty of IT and Design, Aalborg University, VBN5 Technology Platforms Section, The Technical Faculty of IT and Design, Aalborg University, VBN6 CWCSPR, New Jersey Institute of Technology, NJ, USA
The source coding problem with action-dependent side information at the decoder has recently been introduced to model data acquisition in resource-constrained systems. In this paper, an efficient Blahut-Arimoto-type algorithm for the numerical computation of the rate-distortion-cost function for this problem is proposed. Moreover, a simplified two-stage code structure based on multiplexing is put forth, whereby the first stage encodes the actions and the second stage is composed of an array of classical Wyner-Ziv codes, one for each action. Leveraging this structure, specific coding/decoding strategies are designed based on LDGM codes and message passing. Through numerical examples, the proposed code design is shown to achieve performance close to the rate-distortion-cost function.
Proceedings (ieee International Symposium on Information Theory, 2013, p. 1192-1196
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Proceedings of the Ieee International Symposium on Information Theory
ISIT 2013 - IEEE International Symposium on Information Theory