• DocumentCode
    1688834
  • Title

    Highly parallel adaptive filter

  • Author

    Starzyk, Janusz A. ; Eshghi, Mohammad

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
  • fYear
    1989
  • Firstpage
    2116
  • Abstract
    A parallel algorithm for digital adaptive filters is introduced. The algorithm is a look-ahead realization of a transversal filter, which uses a forgetting factor to diminish the effect of the past errors in the performance index. The authors illustrate how such an algorithm can be implemented in a regular and modular structure suitable for VLSI implementation. The maximum sampling rate is limited by the time it takes to add two binary inputs. If the input signal has a sampling rate lower than the maximum sampling rate, then the architecture can be tailored to minimize the hardware costs
  • Keywords
    VLSI; adaptive filters; digital filters; filtering and prediction theory; parallel processing; VLSI implementation; digital adaptive filters; forgetting factor; look-ahead realization; maximum sampling rate; modular structure; parallel algorithm; regular structure; transversal filter; Adaptive filters; Estimation error; Frequency; Hardware; Parallel algorithms; Parallel processing; Performance analysis; Sampling methods; Transversal filters; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., IEEE International Symposium on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/ISCAS.1989.100793
  • Filename
    100793