DocumentCode :
750035
Title :
Filter digitization based on polynomial interpolation
Author :
Rudko, Michael
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Union Coll., Schenectady, NY, USA
Volume :
43
Issue :
3
fYear :
1995
fDate :
3/1/1995 12:00:00 AM
Firstpage :
778
Lastpage :
781
Abstract :
Describes a polynomial interpolation based filter digitization technique which aims to preserve an analog system´s frequency response. It is shown that the procedure is capable of digitizing non-bandlimited, including highpass, analog filters. In most cases considered, it results in digital filters whose frequency response is closer to the frequency response of the analog filter than that of filters designed using impulse invariance or the bilinear transformation
Keywords :
approximation theory; digital filters; filtering theory; frequency response; high-pass filters; interpolation; polynomials; analog filters; digital filters; filter digitization; frequency response; highpass filters; non-bandlimited filters; polynomial interpolation; Computational modeling; Digital filters; Digital simulation; Digital systems; Frequency domain analysis; Frequency response; Interpolation; Polynomials; Signal processing; Stability criteria;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.370634
Filename :
370634
Link To Document :
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