DocumentCode
1208340
Title
Improved narrowband low-pass IIR filters in fixed-point systems [DSP Tips & Tricks]
Author
Lyons, Richard
Author_Institution
Besser Assoc., Mountain View, CA
Volume
26
Issue
2
fYear
2009
fDate
3/1/2009 12:00:00 AM
Abstract
Due to their resistance to quantized-coefficient errors, traditional second-order infinite impulse response (IIR) filters are the fundamental building blocks in computationally efficient high-order IIR digital filter implementations. However, when used in fixed-point number systems, the inherent properties of quantized-coefficient second-order IIR filters do not readily permit their use in narrowband low-pass filtering applications. Narrowband low- pass IIR filters have traditionally had a bad reputation; for example, MATLAB\´s Signal Processing Toolbox documentation warns: "All classical IIR low-pass filters are ill conditioned for extremely low cutoff frequencies." This article presents a neat trick that can be used to overcome the shortcomings of narrowband second-order low- pass IIR filters, with no increase in filter coefficient bit widths and no increase in the number of filter multiplies per output sample.
Keywords
IIR filters; fixed point arithmetic; low-pass filters; mathematics computing; signal processing; MATLAB; fixed-point systems; high-order IIR digital filter; infinite impulse response filters; narrowband low-pass IIR filters; quantized-coefficient errors; signal processing toolbox; Computer languages; Cutoff frequency; Digital filters; Digital signal processing; Documentation; Filtering; IIR filters; Low pass filters; Narrowband; Signal processing;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2008.914713
Filename
4806217
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