Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)

Variable Step Size LMS Algorithm Based on Cosine Function

Authors
Jingjing Zhang
Corresponding Author
Jingjing Zhang
Available Online May 2018.
DOI
10.2991/icmse-18.2018.128How to use a DOI?
Keywords
variable step size LMS algorithm; weak signal; cosine function; convergence rate; noise cancellation
Abstract

In this paper, a new variable step size LMS algorithm based on cosine function is proposed. The weak signal is difficult to extract, so we constructed a new relationship between the step size and the error signal, which depend on the mathematical transformation of the cosine function, and also analyzed the parameter values which effects the performance of the algorithm mainly. In the noise cancellation system, the performance of the algorithm is simulation by MATLAB software. The result shows that the algorithm has better effect during signal denoising, especially in the weak signal extraction which with low SNR(signal to noise ratio), filtering effect is better.

Copyright
© 2018, 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 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/icmse-18.2018.128
ISSN
2352-5401
DOI
10.2991/icmse-18.2018.128How to use a DOI?
Copyright
© 2018, 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  - Jingjing Zhang
PY  - 2018/05
DA  - 2018/05
TI  - Variable Step Size LMS Algorithm Based on Cosine Function
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 693
EP  - 697
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.128
DO  - 10.2991/icmse-18.2018.128
ID  - Zhang2018/05
ER  -