Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)

A Variable Step-Size LMS Adaptive Filtering Algorithm Based on Error Feedback

Authors
Fengchun Wang, Jiyan Du
Corresponding Author
Fengchun Wang
Available Online June 2013.
DOI
10.2991/icetis-13.2013.185How to use a DOI?
Keywords
LMS Algorithm; Adaptive Filtering; Convergence Rate; Steady-state Error
Abstract

In order to solve the problem of LMS algorithm, a new variable step-size LMS algorithm is studied. The algorithm is based on the sigmoid function which builds the non-linear functional relationship between step and error. By introducing the error feedback strategy to adjust the parameters adaptively, the algorithm solves the problem of setting parameters in the function. Compared with other algorithms, simulation results show that the algorithm performs perfect at convergence rate and steady-state error with a better applicability.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
Series
Advances in Intelligent Systems Research
Publication Date
June 2013
ISBN
10.2991/icetis-13.2013.185
ISSN
1951-6851
DOI
10.2991/icetis-13.2013.185How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fengchun Wang
AU  - Jiyan Du
PY  - 2013/06
DA  - 2013/06
TI  - A Variable Step-Size LMS Adaptive Filtering Algorithm Based on Error Feedback
BT  - Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
PB  - Atlantis Press
SP  - 817
EP  - 820
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetis-13.2013.185
DO  - 10.2991/icetis-13.2013.185
ID  - Wang2013/06
ER  -