• DocumentCode
    336165
  • Title

    Theoretical aspects of power reduction for adaptive filters

  • Author

    Gupta, Robby ; Hero, Alfred O.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    3
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    1245
  • Abstract
    Adaptive filters are used in a number of applications, many of which can benefit from a reduction in power. In this paper we present derivations of the approximate expressions used for the increase in mean square error of the LMS adaptive algorithm when the total processing power is decreased
  • Keywords
    adaptive filters; filtering theory; least mean squares methods; LMS adaptive algorithm; adaptive filters; mean square error; optimal bit allocation; power reduction; processing power reduction; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Degradation; Energy consumption; Equations; Least squares approximation; Mean square error methods; Quantization; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.756204
  • Filename
    756204
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=336165