Set-Membership Affine Projection-Like Algorithm with Evolving Order

In this paper, we apply the framework of set-membership filtering (SM) to the Affine Projection-Like algorithm (APL), aiming to decreasing the update rates and the computational complexity. In addition, we propose an evolutionary method that adjust the projection order in each iteration. The resulti...

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Bibliographic Details
Published in:Revista IEEE América Latina 2018-03, Vol.16 (3), p.770-776
Main Authors: Avalos, J.G., Mendoza, J., Serrano, F.A., Avalos, G.
Format: Article
Language:eng ; spa
Subjects:
Acoustics
Adaptive Filters
Affine Projection-Like
Affine Projections
Algorithms
Computation
Computational complexity
Computer simulation
Convergence
Evolution
Filtering
Filtration
IEEE transactions
Iterative methods
Projection
Set Membership Filtering
Silicon
Simulation
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Summary:In this paper, we apply the framework of set-membership filtering (SM) to the Affine Projection-Like algorithm (APL), aiming to decreasing the update rates and the computational complexity. In addition, we propose an evolutionary method that adjust the projection order in each iteration. The resulting algorithm is the Set-Membership Affine Projection-Like algorithm with evolving order. Simulation results demonstrate the efficiency of the algorithm in terms of good convergence behavior, final misadjustment, reduced number of updates and low computational burden.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2018.8358654