NDLI: Linear programming design of IIR digital filters with arbitrary magnitude function

Content Provider	IEEE Xplore Digital Library
Author	Rabiner, L. Graham, N. Helms, H.
Copyright Year	1974
Abstract	This paper discusses the use of linear programming techniques for the design of infinite impulse response (IIR) digital filters. In particular, it is shown that, in theory, a weighted equiripple approximation to an arbitrary magnitude function can be obtained in a predictable number of applications of the simplex algorithm of linear programming. When one implements the design algorithm, certain practical difficulties (e.g., coefficient sensitivity) limit the range of filters which can be designed using this technique. However, a fairly large number of IIR filters have been successfully designed and several examples will be presented to illustrate the range of problems for which we found this technique to be useful.
Starting Page	117
Ending Page	123
Page Count	7
File Size	667102
File Format	PDF
ISSN	00963518
Volume Number	22
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1974-04-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear programming Digital filters IIR filters Algorithm design and analysis Signal processing algorithms Band pass filters Design optimization Frequency domain analysis Nonlinear filters Polynomials
Content Type	Text
Resource Type	Article
Subject	Signal Processing

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Linear programming design of IIR digital filters with arbitrary magnitude function