• DocumentCode
    1749588
  • Title

    Dynamic structures for non-uniform subband adaptive filtering

  • Author

    Oakman, Amere ; Naylor, Patrick

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3717
  • Abstract
    Subband adaptive filters suffer degraded performance when high input energy occurs at frequencies coincident with subband boundaries. This is seen as increased error in critically sampled systems and as reduced asymptotic convergence speed in oversampled systems. To address this problem a dynamic frequency decomposition scheme is presented which aims to control the frequency of subband boundaries such that they avoid spectral regions of high input energy. An efficient structure for this is described, which maintains the low-complexity advantage of subband systems. Simulation results show reductions in MSE of around 5-10 dB in the critical case and convergence improvement in the oversampled case, in addition to increased robustness to coloured inputs in both cases
  • Keywords
    adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; mean square error methods; signal sampling; MSE; asymptotic convergence speed; coloured input robustness; complexity; critically sampled systems; dynamic frequency decomposition; non-uniform filtering; oversampled systems; spectral regions; subband adaptive filtering; subband adaptive filters; Adaptive filters; Convergence; Degradation; Educational institutions; Error correction; Filter bank; Frequency; Merging; Power engineering and energy; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940650
  • Filename
    940650