• DocumentCode
    2169394
  • Title

    Performance limits of LMS-based adaptive networks

  • Author

    Zhao, Xiaochuan ; Sayed, Ali H.

  • Author_Institution
    Department of Electrical Engineering, University of California, Los Angeles, 90095, USA
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3768
  • Lastpage
    3771
  • Abstract
    In this work we analyze the mean-square performance of different strategies for adaptation over two-node least-mean-squares (LMS) networks. The results highlight some interesting properties for adaptive networks in comparison to centralized solutions. The analysis reveals that the adapt-then-combine (ATC) adaptive network algorithm can achieve lower excess-mean-square-error (EMSE) than a centralized solution that is based on either block or incremental LMS strategies with the same convergence rate.
  • Keywords
    Adaptive systems; Algorithm design and analysis; Least squares approximation; Medical services; Noise; Performance analysis; Signal processing algorithms; LMS; adaptive networks; diffusion; fusion center; incremental;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague, Czech Republic
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5947171
  • Filename
    5947171
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2169394