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
Link To Document :
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