Convergence analysis of a new subband adaptive structure with critical sampling

Author

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

Author_Institution

COPPE, Univ. Fed. do Rio de Janeiro, Brazil

Volume

3

fYear

1999

fDate

36342

Firstpage

134

Abstract

In this paper, we present a convergence analysis of the subband adaptive filter structure with critical sampling recently proposed by the authors. This new adaptive subband structure yields exact modeling of FIR systems and leads to computational complexity savings of the order of the number of subbands. Two adaptation algorithms are investigated for the updating of the adaptive coefficients of this new subband structure, and a theoretical analysis of their convergence rates and misadjustments is derived. Computer simulations are presented in order to verify the performance of the proposed algorithms and the theoretical results

Keywords

adaptive filters; computational complexity; convergence of numerical methods; filtering theory; matrix algebra; signal sampling; FIR system modelling; adaptation algorithms; adaptive coefficients updating; computational complexity; convergence analysis; critical sampling; subband adaptive structure; Adaptive filters; Algorithm design and analysis; Computational complexity; Convergence; Equations; Filter bank; Finite impulse response filter; Least squares approximation; Metrology; Sampling methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-5471-0

Type

conf

DOI

10.1109/ISCAS.1999.778803

Filename

778803