• DocumentCode
    2463999
  • Title

    Quantizer Design for Decentralized MMSE Estimation

  • Author

    Marano, Stefano ; Matta, Vincenzo ; Willett, Peter

  • Author_Institution
    DIIIE, Univ. degli Studi di Salerno, Fisciano
  • fYear
    2006
  • fDate
    13-15 Dec. 2006
  • Firstpage
    1327
  • Lastpage
    1332
  • Abstract
    Conceptual and practical encoding/decoding, aimed at accurately reproducing remotely collected observations, has been heavily investigated since the pioneering works by Shannon about source coding. However, when the goal is not to reproduce the observables, but making inference about an embedded parameter and the scenario consists of many unconnected remote nodes, the landscape is less certain. We consider a multi-terminal system designed for efficiently estimating a random parameter according to the MMSE criterion. The analysis is limited to scalar quantizers followed by a joint entropy encoder, and it is performed in the high-resolution regime where the mathematics is easier
  • Keywords
    decoding; encoding; mean square error methods; quantisation (signal); decentralized MMSE estimation; joint entropy encoder; minimum mean square error; multiterminal system; scalar quantizer design; Decoding; Entropy; Lattices; Mathematics; Parameter estimation; Performance analysis; Rate-distortion; Source coding; USA Councils; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2006 45th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-0171-2
  • Type

    conf

  • DOI
    10.1109/CDC.2006.376962
  • Filename
    4177035