Transient and Steady-State Analysis of the Affine Combination of Two Adaptive Filters


Autoria(s): Candido, Renato; Silva, Magno Teófilo Madeira da; Nascimento, Vitor Heloiz
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2010

Resumo

In this paper, we propose an approach to the transient and steady-state analysis of the affine combination of one fast and one slow adaptive filters. The theoretical models are based on expressions for the excess mean-square error (EMSE) and cross-EMSE of the component filters, which allows their application to different combinations of algorithms, such as least mean-squares (LMS), normalized LMS (NLMS), and constant modulus algorithm (CMA), considering white or colored inputs and stationary or nonstationary environments. Since the desired universal behavior of the combination depends on the correct estimation of the mixing parameter at every instant, its adaptation is also taken into account in the transient analysis. Furthermore, we propose normalized algorithms for the adaptation of the mixing parameter that exhibit good performance. Good agreement between analysis and simulation results is always observed.

FAPESP[2008/00773-1]

FAPESP[2008/04828-5]

CNPq[302633/2008-1]

CNPq[303361/2004-2]

Identificador

IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.58, n.8, p.4064-4078, 2010

1053-587X

http://producao.usp.br/handle/BDPI/18616

10.1109/TSP.2010.2048210

http://dx.doi.org/10.1109/TSP.2010.2048210

Idioma(s)

eng

Publicador

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Relação

Ieee Transactions on Signal Processing

Direitos

restrictedAccess

Copyright IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Palavras-Chave #Adaptive filters #affine combination #least mean-square methods #tracking #transient analysis #unsupervised learning #CONVEX COMBINATION #TRACKING #LMS #CONVERGENCE #EQUALIZERS #ALGORITHMS #IDENTIFICATION #EQUALIZATION #PERFORMANCE #SYSTEMS #Engineering, Electrical & Electronic
Tipo

article

original article

publishedVersion