• DocumentCode
    1767641
  • Title

    Regularization parameter of normalized subband adaptive filter

  • Author

    Jae Jin Jeong ; Gyogwon Koo ; Seung Hun Kim ; Sang Woo Kim

  • Author_Institution
    Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    1047
  • Lastpage
    1050
  • Abstract
    The stability and performance of the normalized subband adaptive filter (NSAF) algorithm is influenced by the regularization parameter. However, in various noise environments, the regularization parameter is difficult to be determined. The basic idea of this paper is to eliminate the effects of the noise in filter estimation. Simulation results show the proposed method has valid results in various noise environment.
  • Keywords
    adaptive filters; NSAF algorithm; filter estimation; noise environment; normalized subband adaptive filter algorithm; regularization parameter; Adaptive filters; Convergence; Equations; Signal to noise ratio; Steady-state; Vectors; Adaptive filters; normalized subband adaptive filter; regularization parameter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISIE.2014.6864757
  • Filename
    6864757
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1767641