• DocumentCode
    3020894
  • Title

    Proportionate affine projection algorithms from a basis pursuit perspective

  • Author

    Paleologu, Constantin ; Benesty, Jacob

  • Author_Institution
    Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2012
  • fDate
    20-23 May 2012
  • Firstpage
    2757
  • Lastpage
    2760
  • Abstract
    It can be shown that the update of the affine projection algorithm (APA) can be decomposed as the sum of two orthogonal vectors. One of these vectors is derived from an ℓ2-norm optimization problem while the other one is simply a good initialization vector. By replacing the ℓ2-norm optimization with the ℓk-norm optimization (with 0 <; k ≤ 1), we can obtain a class of proportionate APAs (PAPAs). In this context, we evaluate the impact of the different ℓk-norm optimizations over the performance of the PAPAs.
  • Keywords
    optimisation; vectors; ℓ2-norm optimization problem; APA; basis pursuit perspective; initialization vector; orthogonal vectors; proportionate affine projection algorithms; Context; Convergence; Echo cancellers; Optimization; Speech; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
  • Conference_Location
    Seoul
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-0218-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2012.6271880
  • Filename
    6271880