DocumentCode :
841833
Title :
Quantized FIR filter design using compensating zeros
Author :
Kotteri, Kishore A. ; Bell, Amy E. ; Carletta, Joan E.
Volume :
20
Issue :
6
fYear :
2003
Firstpage :
60
Lastpage :
67
Abstract :
This article presents a design method for translating a finite impulse response (FIR) floating-point multiplierless filter design. Conventional wisdom dictates that finite word-length (i.e., quantization) effects can be minimized by dividing a filter into smaller, cascaded sections. In this design method, it is shown how to quantize the cascaded sections so that the finite word-length effects in one section are guaranteed to compensate for the finite word-length effects in the other section. This simple method called, "compensating zeros," ensures that: (1) the quantized filter\´s frequency response closely matches the unquantized filter\´s frequency response (in both magnitude and phase); and (2) the required hardware remains small and fast.
Keywords :
FIR filters; cascade networks; quantisation (signal); FIR filter design; compensating zeros quantization; finite impulse response filter design; finite word-length effects; floating-point filter design; frequency response; multiplierless filter design; quantization effects; quantized filter; unquantized filters; Algorithm design and analysis; Digital signal processing; Finite impulse response filter; Frequency; Hardware; IIR filters; Lattices; Quantization; Signal design; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2003.1253556
Filename :
1253556
Link To Document :
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