Convergence analysis of an oversampled subband adaptive filtering structure using global error

Author

Alves, Rogerio G. ; Petraglia, Mariane R. ; Dini, Paulo S R

Author_Institution

Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada

Volume

1

fYear

2000

fDate

2000

Firstpage

468

Abstract

Subband adaptive filtering has been studied by a large number of researchers. The main alternatives are structures with critical sampling and noncritical sampling, that use local errors or global error in the adaptation algorithm. In this paper a theoretical convergence analysis of an oversampled subband adaptive filtering structure with global error is presented. The convergence rate of the adaptation algorithm can be estimated from the results of this analysis. Computer simulations are presented to illustrate the convergence behavior of the subband adaptive algorithm and to verify the theoretical results

Keywords

adaptive filters; adaptive signal processing; channel bank filters; convergence of numerical methods; error analysis; least mean squares methods; signal sampling; adaptation algorithm; computer simulations; convergence analysis; convergence rate; critical sampling; global error; noncritical sampling; normalized LMS algorithm; oversampled subband adaptive filtering structure; subband adaptive algorithm; uniform DFT filter banks; Adaptive filters; Algorithm design and analysis; Computer errors; Computer simulation; Convergence; Filter bank; Finite impulse response filter; Prototypes; Sampling methods; Signal synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.862015

Filename

862015