• DocumentCode
    2994964
  • Title

    The block-processing FTF adaptive algorithm

  • Author

    Cioffi, John M.

  • Author_Institution
    IBM Research Laboratory, San Jose, CA
  • Volume
    10
  • fYear
    1985
  • fDate
    31138
  • Firstpage
    1241
  • Lastpage
    1244
  • Abstract
    A new order-recursive least-squares algorithm for adaptive processing of discontinuous blocks of data is presented. For any one of these data blocks, the new algorithm is significantly more efficient in both total and "per-order" computation than any others that solve this same problem, including those recently introduced by Morf et al (1977), by Marple (1981), and by Kalouptsidis, Carayannis, and Manolakis (1985). In addition, the new numerically stable algorithm permits the recursive incorporation of new blocks of data, unlike those previous algorithms, which cannot be modified for use with more than one data block. The new algorithm does not vary block length with order during the intermediate computations for a particular block and is derived using the geometric Fast Transversal Filters (FTF) concepts that have also been used in time-recursive least-squares algorithms.
  • Keywords
    Adaptive algorithm; Costs; Equations; Laboratories; Length measurement; Linear systems; Nonlinear filters; Time measurement; Transversal filters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1985.1168388
  • Filename
    1168388