• DocumentCode
    851952
  • Title

    Maximum entropy method and the design of linear phase FIR filters

  • Author

    Madan, Rabinder N.

  • Author_Institution
    Office of Naval Res., Arlington, VA, USA
  • Volume
    39
  • Issue
    9
  • fYear
    1992
  • fDate
    9/1/1992 12:00:00 AM
  • Firstpage
    611
  • Lastpage
    618
  • Abstract
    A procedure that makes use of the maximum-entropy method (MEM) for the design of linear-phase FIR digital filters is described. It is shown that by applying MEM to the inverse of the desired gain function or its square root function, it is possible to generate linear phase FIR filters that match the given gain function to any desired degree of accuracy. Further, an iterative algorithm makes the design procedures very efficient, since the higher-order filters can be recursively generated from the lower-order ones. To minimize any residual distortion in the passband region, a final averaging scheme on the lower-order filters generates a class of linear phase FIR filters that are practically distortion free in the passband as well as the stopband. Simulation results that compare the present procedure with other well-known methods are also presented
  • Keywords
    digital filters; filtering and prediction theory; iterative methods; FIR filters; design procedures; digital filters; iterative algorithm; linear phase; maximum-entropy method; Autocorrelation; Design methodology; Digital filters; Entropy; Finite impulse response filter; Nonlinear filters; Passband; Phase distortion; Signal processing algorithms; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7130
  • Type

    jour

  • DOI
    10.1109/82.193315
  • Filename
    193315