• DocumentCode
    1245704
  • Title

    Unequal-length multichannel δb-Levinson and Schur type RLS algorithms

  • Author

    Liu, Xiaqi ; Fan, H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
  • Volume
    43
  • Issue
    1
  • fYear
    1995
  • fDate
    1/1/1995 12:00:00 AM
  • Firstpage
    336
  • Lastpage
    341
  • Abstract
    In this correspondence, δb-operator-based unequal-length multichannel Levinson and Schur-type RLS algorithms are developed which have the potential of improved numerical behavior for fast-sampled or ill-conditioned input data. They provide computational improvement over the overparameterization, or the zero padding approach using the existing equal-length multichannel δb algorithms when an unequal length multichannel case is considered
  • Keywords
    adaptive signal processing; least squares approximations; prediction theory; recursive estimation; telecommunication channels; δb-operator-based algorithms; Levinson algorithms; Schur type RLS algorithm; adaptive signal processing; backward linear prediction model; fast-sampled input data; forward linear prediction model; ill-conditioned input data; unequal length multichannel algorithms; Adaptive signal processing; Computational efficiency; Filters; Predictive models; Resonance light scattering; Signal processing algorithms; Zinc;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.365324
  • Filename
    365324
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1245704