DocumentCode
1180374
Title
Image-parameter approximations for designing linear-phase filters
Author
Orchard, H.J. ; Targoff, Donald M.
Volume
25
Issue
6
fYear
1978
fDate
6/1/1978 12:00:00 AM
Firstpage
325
Lastpage
333
Abstract
The stopband loss of a filter with arbitrary loss poles and an equal-ripple passband can be approximated extremely accurately by the loss of a related image-parameter filter. When the actual loss is greater than about 1 Np, its difference
from the image loss is almost completely independent of frequency and is a function only of the passband ripple size. This approximation has been widely used in filter design since it was described by Darlington in 1939. The passband delay can also be approximated by the delay of the same image-parameter filter, but the difference
between the two delays is, unfortunately, not a constant but a fairly complicated function of frequency. The paper shows that
is the minimum delay corresponding to
and that an approximation to
can be derived by taking the Hilbert transform of a spline function which approximates
over the whole stopband. The sum of the image delay and this approximation to
represents the actual delay very accurately; both functions and their partial derivatives with respect to the poles can be computed quickly and simply. The two approximations, to loss and delay, can be used as the basis of a fast iterative program for designing high-degree linear-phase filters meeting an arbitrary specification on the stopband loss.
from the image loss is almost completely independent of frequency and is a function only of the passband ripple size. This approximation has been widely used in filter design since it was described by Darlington in 1939. The passband delay can also be approximated by the delay of the same image-parameter filter, but the difference
between the two delays is, unfortunately, not a constant but a fairly complicated function of frequency. The paper shows that
is the minimum delay corresponding to
and that an approximation to
can be derived by taking the Hilbert transform of a spline function which approximates
over the whole stopband. The sum of the image delay and this approximation to
represents the actual delay very accurately; both functions and their partial derivatives with respect to the poles can be computed quickly and simply. The two approximations, to loss and delay, can be used as the basis of a fast iterative program for designing high-degree linear-phase filters meeting an arbitrary specification on the stopband loss.Keywords
Approximation methods; Filter design; Linear-phase filters; Band pass filters; Delay; Design methodology; Filtering theory; Frequency; Linear approximation; Microwave filters; Nonlinear filters; Passband; Transfer functions;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/TCS.1978.1084488
Filename
1084488
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