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research article

Mean-Square Performance of a Family of Affine Projection Algorithms

Shin, H.-C.
•
Sayed, Ali H.  
2004
IEEE Transactions on Signal Processing

Affine projection algorithms are useful adaptive filters whose main purpose is to speed the convergence of LMS-type filters. Most analytical results on affine projection algorithms assume special regression models or Gaussian regression data. The available analysis also treat different affine projection filters separately. This paper provides a unified treatment of the mean-square error, tracking, and transient performances of a family of affine projection algorithms. The treatment relies on energy conservation arguments and does not restrict the regressors to specific models or to a Gaussian distribution. Simulation results illustrate the analysis and the derived performance expressions.

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Type
research article
DOI
10.1109/TSP.2003.820077
Author(s)
Shin, H.-C.
•
Sayed, Ali H.  
Date Issued

2004

Publisher

Institute of Electrical and Electronics Engineers

Published in
IEEE Transactions on Signal Processing
Volume

52

Issue

1

Start page

90

End page

102

Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
ASL  
Available on Infoscience
December 19, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/142870
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