New results on adaptive filtering using filter banks

Author

Petraglia, Mariane R. ; Alves, Rogerio G.

Author_Institution

Dept. of Electron. Eng., Fed. Univ. of Rio de Janeiro, Brazil

Volume

4

fYear

1997

fDate

9-12 Jun 1997

Firstpage

2321

Abstract

The properties of an adaptive filtering structure which employs an analysis filter bank to decompose the input signal and sparse adaptive filters in the subbands are investigated in this paper. The necessary conditions on the filter bank and on the structure parameters for exact modeling of an arbitrary linear system with finite impulse response (FIR) are derived. Then, based on the results obtained for the sparse subfilter structure, a new family of adaptive structures with critical sampling of the subband signals, which can also yield exact modelization, is obtained. Computer simulations are presented to illustrate the convergence behavior of the adaptive subband structures investigated in the paper

Keywords

FIR filters; adaptive filters; convergence of numerical methods; filtering theory; least mean squares methods; signal sampling; FIR filter; adaptive filtering; analysis filter bank; arbitrary linear system; convergence behavior; critical sampling; finite impulse response; normalized LMS algorithm; sparse adaptive filters; sparse subfilter structure; subband signals; Adaptive filters; Channel bank filters; Computer simulation; Convergence; Delay; Filter bank; Finite impulse response filter; Least squares approximation; Sampling methods; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.612787

Filename

612787