Regularization of the improved proportionate affine projection algorithm

In sparse adaptive filters, the adaptation gain is "proportionately" redistributed among all the coefficients, emphasizing the large ones in order to speed up their convergence. The improved proportionate affine projection algorithm (IPAPA) is a very attractive choice for echo cancellation...

Full description

Saved in:
Bibliographic Details
Published in2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 169 - 172
Main Authors Paleologu, C., Benesty, J., Albu, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Adaptation models
adaptive filters
Convergence
Echo cancellation
Echo cancellers
improved proportionate affine projection algorithm (IPAPA)
Noise
Projection algorithms
regularization
Vectors
Online AccessGet full text

Cover

More Information
Summary:In sparse adaptive filters, the adaptation gain is "proportionately" redistributed among all the coefficients, emphasizing the large ones in order to speed up their convergence. The improved proportionate affine projection algorithm (IPAPA) is a very attractive choice for echo cancellation, since it combines the good convergence features of the affine projection algorithm (APA) and the gain factors of the improved proportionate normalized least-mean-square (IPNLMS) algorithm. Similar to the APA, a matrix inversion is required within the IPAPA. For practical reasons, the matrix needs to be regularized before inversion, i.e., a positive constant is added to the elements of its main diagonal. In this paper, we propose a formula for choosing the regularization parameter of the IPAPA, aiming at attenuating the effects of the noise in the adaptive filter estimate. Simulation results indicate the validity of this approach in both network and acoustic echo cancellation scenarios.
ISBN:1467300454
9781467300452
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2012.6287844