Proceedings of the 2015 International Conference on Economics, Social Science, Arts, Education and Management Engineering

Method Research for Signal Extraction of Noise Frequency Based on Modal Decomposition

Authors
Zhen Ge, Zhigang Liu
Corresponding Author
Zhen Ge
Available Online October 2015.
DOI
10.2991/essaeme-15.2015.111How to use a DOI?
Keywords
Empirical mode decomposition (EMD); Collection of empirical mode decomposition (EEMD); Unascertained signal frequency
Abstract

In this article, it is proposed by using the empirical mode decomposition and the collection of empirical mode decomposition to decompose the signal and white noise to avoid patterns confused ideas of known frequency signal extraction method .In order to solve the known frequency signal extraction method, some of the problems faced in the extremum point positioning, such as the determination of amplitude, joining the white noise variance, and so on.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Economics, Social Science, Arts, Education and Management Engineering
Series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2015
ISBN
978-94-6252-116-2
ISSN
2352-5398
DOI
10.2991/essaeme-15.2015.111How to use a DOI?
Copyright
© 2015, 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  - Zhen Ge
AU  - Zhigang Liu
PY  - 2015/10
DA  - 2015/10
TI  - Method Research for Signal Extraction of Noise Frequency Based on Modal Decomposition
BT  - Proceedings of the 2015 International Conference on Economics, Social Science, Arts, Education and Management Engineering
PB  - Atlantis Press
SP  - 507
EP  - 510
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-15.2015.111
DO  - 10.2991/essaeme-15.2015.111
ID  - Ge2015/10
ER  -