DocumentCode :
3034538
Title :
On the design of recursive lowpass digital filters
Author :
Shenoi, Kishan ; Agrawal, Banit
Author_Institution :
ITT Telecommunications Technology Center, Stamford, Connecticut
Volume :
4
fYear :
1979
fDate :
28946
Firstpage :
840
Lastpage :
843
Abstract :
The magnitude-squared characteristic of an ideal lowpass filter is approximated, over the finite interval [-1,1], by the ratio Φ(x)/Φ(x)+P(x) of two n-th-degree polynomials. The polynomials Φ(x) and P(x) are chosen such that the ratios P(x)/ Φ(x) and Φ(x)/P(x) approximate, in a Chebyshev sense, the zero function over the passband [xp,1] and the stopband [-1,xs], respectively. The passband and stopband form two disjoint intervals. The polynomials are iteratively determined by repeated applications of Darlington´s technique for obtaining rational function generalizations of Chebyshev polynomials. The efficacy of the iterative method is demonstrated by examples.
Keywords :
Attenuation; Band pass filters; Chebyshev approximation; Digital filters; Equations; Filtering theory; Frequency; Minimax techniques; Passband; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
Type :
conf
DOI :
10.1109/ICASSP.1979.1170614
Filename :
1170614
Link To Document :
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