On DSP implementation of adaptive IIR filters

Author

Cousseau, J.E. ; Donete, P.D. ; Diniz, P.S.R.

Author_Institution

Dept. of Ing. Eng., Univ. Nacional del Sur, Bahia Blanca, Argentina

Volume

2

fYear

1996

Firstpage

752

Abstract

Some real-time DSP experiments with adaptive IIR filters are addressed in this paper. The performance comparisons involve the LMSEE, the BRLE and the QCEE algorithms, A discussion of the main characteristics of each algorithm is included. Some aspects of the implementation involving the updating algorithm, the normalization, the quantization strategy and the internal scaling are discussed. Preliminary results show that finite wordlength effects are more disturbing in the BRLE algorithm than in the QCEE algorithm

Keywords

IIR filters; adaptive filters; digital filters; filtering theory; least mean squares methods; real-time systems; BRLE algorithm; DSP implementation; LMSEE algorithm; QCEE algorithm; adaptive IIR filters; finite wordlength effects; internal scaling; normalization; performance comparison; quantization strategy; real-time DSP experiments; updating algorithm; Digital signal processing; Equations; Filtering algorithms; Finite wordlength effects; IIR filters; Noise measurement; Quantization; Signal processing algorithms; Smoothing methods; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996., IEEE 39th Midwest symposium on

Conference_Location

Ames, IA

Print_ISBN

0-7803-3636-4

Type

conf

DOI

10.1109/MWSCAS.1996.588015

Filename

588015