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
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