• DocumentCode
    406238
  • Title

    Optimization and implementation of extrapolated impulse response filters

  • Author

    Yu, Ya Jun ; Zhao, Guohui ; Teo, Kok Lay ; Lim, Yong Ching

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    744
  • Abstract
    The impulse response of an FIR lowpass or highpass filter is quasi-periodic and enclosed in an envelope with diminishing magnitude. Its energy concentrates near the center. This diminishing energy and quasi-periodic nature of the impulse response have been exploited in Y.C. Lim (1990) to reduce the complexity of an FIR filter using a scheme called the extrapolated impulse response technique. In this paper, a semi-infinite programming is proposed to jointly optimize the filter coefficients and the extrapolated scaling factors. A realization structure making use of the coefficient symmetry is also presented. An example taken from literature is included illustrating that the number of multipliers for the resulting filter is less than 65 percent of existing results.
  • Keywords
    FIR filters; extrapolation; high-pass filters; low-pass filters; mathematical programming; transient response; FIR highpass filter; FIR lowpass filter; coefficient symmetry; diminishing magnitude; extrapolated impulse response filters; extrapolated scaling factors; filter coefficients; quasiperiodic; realization structure; semiinfinite programming; Digital filters; Digital signal processing; Finite impulse response filter; Frequency; Hardware; Mathematics; Narrowband; Power engineering and energy; Predictive encoding; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1279382
  • Filename
    1279382