• DocumentCode
    769361
  • Title

    Finite impulse response estimator (FIRE)

  • Author

    Kim, Kwang ; Shafai, Bahram

  • Author_Institution
    Mitre Corp., Bedford, MA, USA
  • Volume
    43
  • Issue
    9
  • fYear
    1995
  • fDate
    9/1/1995 12:00:00 AM
  • Firstpage
    2186
  • Lastpage
    2189
  • Abstract
    FIRE is an optimal filter structure combining a deterministic digital filter and a stochastic filter. A model of the system is described by a stale equation and the output of the system is modeled by an FIR filter. This integrated structure has demonstrated the capability of processing signals contaminated by deterministic band-limited harmonic noises as well as random Gaussian noises. This article shows the derivation of FIRE and provides the simulation results for its tracking application
  • Keywords
    FIR filters; Gaussian noise; digital filters; filtering theory; harmonics; signal processing; FIR filter; FIRE; deterministic band-limited harmonic noises; deterministic digital filter; finite impulse response estimator; integrated structure; optimal filter structure; random Gaussian noises; signal processing; simulation results; stochastic filter; tracking application; Digital filters; Equations; Filtering; Finite impulse response filter; Fires; Gaussian noise; Nonlinear filters; Signal processing; State estimation; Stochastic resonance;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.414818
  • Filename
    414818