DocumentCode :
1092342
Title :
Improved filter sharpening
Author :
Hartnett, Richard J. ; Boudreaux-Bartels, G. Faye
Author_Institution :
United States Coast Guard Acad., New London, CT, USA
Volume :
43
Issue :
12
fYear :
1995
fDate :
12/1/1995 12:00:00 AM
Firstpage :
2805
Lastpage :
2810
Abstract :
We propose a natural extension to Kaiser-Hamming (1977) filter sharpening methods to allow for a piecewise linear desired amplitude change function (ACF). The primary advantages of the proposed ACF over piecewise constant ACFs is that we obtain better control of selective improvement (or degradation) in either the passband or stopband or both, and we are not restricted to applying our methods to filters with piecewise constant pass and stopbands, since linear segments of slope 1 can be used to retain existing filter performance in either passband or stopband. The proposed ACF approximating polynomial (AP) is easy to compute, may be constrained to have simple (or integer) coefficients, and may be expressed as the AP of Kaiser and Hamming plus a correction polynomial. We also provide applications for motivation
Keywords :
FIR filters; approximation theory; filtering theory; piecewise-linear techniques; polynomials; FIR filter; approximating polynomial; correction polynomial; degradation; filter performance; filter sharpening methods; integer coefficients; linear segments; passband; piecewise linear amplitude change function; selective improvement; stopband; Design optimization; Digital filters; Finite impulse response filter; Frequency domain analysis; Nonlinear filters; Passband; Piecewise linear approximation; Piecewise linear techniques; Polynomials; Transfer functions;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.476422
Filename :
476422
Link To Document :
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