• DocumentCode
    341731
  • Title

    Convergence properties of mixed-norm algorithms under general error criteria

  • Author

    Al-Naffouri, Tareq Y. ; Zerguine, Azzedine ; Bettayeb, Maamar

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • Volume
    3
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    211
  • Abstract
    The convergence properties of mixed-norm algorithms as applied to echo cancelers under general error criteria are derived for correlated and identically distributed inputs. The convergence analysis of this class of algorithms is carried out using the linearization process of the error nonlinearities. Necessary and sufficient conditions for convergence are derived for the independent input case
  • Keywords
    adaptive signal processing; echo suppression; convergence properties; correlated inputs; echo cancelers; error criteria; error nonlinearities; identically distributed inputs; independent input case; linearization process; mixed-norm algorithms; Additive noise; Algorithm design and analysis; Analysis of variance; Convergence; DH-HEMTs; Integrated circuit noise; Linearity; Performance analysis; Physics; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-5471-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1999.778822
  • Filename
    778822
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=341731