• DocumentCode
    136337
  • Title

    Improved sharpening of comb-based decimation filters: Analysis and design

  • Author

    Laddomada, Massimiliano ; Troncoso, D.E. ; Jovanovic Dolecek, G.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ. - Texarkana, Texarkana, TX, USA
  • fYear
    2014
  • fDate
    10-13 Jan. 2014
  • Firstpage
    11
  • Lastpage
    16
  • Abstract
    In this work, we propose a new method to design sharpened comb filters to attain given specifications on the acceptable maximum passband distortion as well as on selec-tivity. The key idea hinges upon the definition of a sharpening polynomial with as many coefficients as the number of constraints imposed. The sharpening filter design is then optimized through a Particle Swarm Optimization algorithm in order to find power-of-2 coefficients for the sharpening polynomial so as to desig a multiplierless decimation filter. A design example is discussed in order to contrast the magnitude responses of the proposed filters among each other, to show the improved performance in terms of passband distortion and selectivity with respect to classical comb filter, and to highlight the key design steps of the proposed design.
  • Keywords
    distortion; filtering theory; particle swarm optimisation; comb-based decimation filters; magnitude responses; multiplerless decimation filter; particle swarm optimization algorithm; passband distortion; sharpened comb filters; sharpening filter design; sharpening polynomial; CIC-filters comb; decimation; decimation filter; delta-sigma; multiplierless; sharpening; sinc filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-2356-4
  • Type

    conf

  • DOI
    10.1109/CCNC.2014.6940530
  • Filename
    6940530