RLS algorithm for a new subband adaptive structure with critical sampling

Author

Alves, R.G. ; Petraglia, M.R. ; Apolinário, J.A., Jr. ; Diniz, P.S.R.

Author_Institution

COPPE, Univ. Federal de Rio de Janeiro, Brazil

Volume

2

fYear

1998

fDate

9-13 Aug 1998

Firstpage

442

Abstract

In a recent publication new family of adaptive structures with critical sampling of the subband signals, which yields exact modeling of FIR systems, was obtained. In this paper an algorithm based on the recursive least-squares (RLS) algorithm is derived for the updating of the adaptive coefficients of this new subband structure. An efficient implementation of the resulting structure is discussed, leading to computational complexity savings. Computer simulations illustrate the convergence behavior of the proposed algorithm

Keywords

adaptive signal processing; computational complexity; convergence of numerical methods; least squares approximations; recursive estimation; signal sampling; FIR systems; RLS algorithm; adaptive coefficients; computational complexity; convergence behavior; critical sampling; recursive least-squares algorithm; subband adaptive structure; subband signals; Adaptive filters; Computational complexity; Computer simulation; Convergence; Filter bank; Finite impulse response filter; Resonance light scattering; Sampling methods; Sparse matrices; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications Symposium, 1998. ITS '98 Proceedings. SBT/IEEE International

Conference_Location

Sao Paulo

Print_ISBN

0-7803-5030-8

Type

conf

DOI

10.1109/ITS.1998.718434

Filename

718434