One-dimensional block adaptive IIR filters

Author

Tan, Alfredo C.

Author_Institution

Sch. of Eng. & Eng. Technol., Fairleigh Dickinson Univ., Teaneck, NJ, USA

Volume

2

fYear

1996

Firstpage

741

Abstract

We present the block implementation of adaptive infinite impulse response filters based on least-mean-square algorithm and output-error formulation. This approach leads to a reduction in overall computational complexity and to a fast implementation involving parallel processors or serial processors and fast Fourier transform techniques. Computer simulations are also provided to demonstrate the practical applications of the proposed adaptive filters

Keywords

IIR filters; adaptive filters; computational complexity; digital filters; fast Fourier transforms; filtering theory; least mean squares methods; FFT; LMS algorithm; block adaptive IIR filters; computational complexity; computer simulations; fast Fourier transform techniques; fast implementation; infinite impulse response filters; least-mean-square algorithm; one-dimensional IIR filters; output-error formulation; parallel processors; serial processors; Adaptive filters; Computational complexity; Computer simulation; Convergence; Equations; Fast Fourier transforms; Finite impulse response filter; IIR filters; Least squares approximation; Signal processing algorithms;

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.1996.587873

Filename

587873