• DocumentCode
    3334512
  • Title

    Further insights on the equivalence of AVF and MSWF [filters]

  • Author

    Xu, Bin ; Yang, Chenyang ; Mao, Shiyi

  • Author_Institution
    Sch. of Electr. Eng., Beihang Univ., Beijing, China
  • Volume
    2
  • fYear
    2004
  • fDate
    17-21 May 2004
  • Abstract
    The auxiliary vector filter (AVF) and the multistage Weiner filter (MSWF) are two important categories of reduced-rank filters and have been widely applied to the adaptive signal processing domain. The relationship between AVF and MSWF has also drawn a lot of attention. It has been indicated that AVF is equivalent to MSWF due to the identical reduced-rank subspace in the literature. However, except for the same subspace, the structures and the corresponding parameters of AVF are considerably different to that of MSWF. In order to gain further insights on the equivalence between AVF and MSWF, a computation scheme of parameters and a nested structure are presented for AVF in this paper. According to the identical nested structure, it can be proven that AVF has the same parameters as MSWF, which are calculated in different ways. As a consequence, it can be claimed that AVF and MSWF are two alternative computation schemes for the same reduced-rank filter.
  • Keywords
    adaptive filters; reduced order systems; AVF nested structure; AVF/MSWF equivalence; MSWF; adaptive filtering; adaptive signal processing; auxiliary vector filter; multistage Weiner filter; reduced-rank filters; reduced-rank subspace; AWGN; Adaptive filters; Adaptive signal processing; Additive white noise; Baseband; Computational complexity; Covariance matrix; Digital signal processing; Interference; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8484-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2004.1326393
  • Filename
    1326393