On the robustness of set-membership adaptive filtering algorithms

On the robustness of set-membership adaptive filtering algorithms

Abstract In this paper, we address the robustness, in the sense of l 2-stability, of the set-membership normalized least-mean-square (SM-NLMS) and the set-membership affine projection (SM-AP) algorithms. For the SM-NLMS algorithm, we demonstrate that it is robust regardless of the choice of its para...

Full description

Bibliographic Details
Main Authors: Hamed Yazdanpanah, Markus V. S. Lima, Paulo S. R. Diniz
Format: Article
Language:English
Published: SpringerOpen 2017-10-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Adaptive filtering
Robustness
Set-theoretic estimation
Set-membership filtering
SM-NLMS
SM-AP
Online Access:http://link.springer.com/article/10.1186/s13634-017-0507-7

Internet

http://link.springer.com/article/10.1186/s13634-017-0507-7

Similar Items