Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

Extraction Method of Harmonic Signal from Chaotic Background Based on Effective Data Segment

Authors
Peili Cong
Corresponding Author
Peili Cong
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.8How to use a DOI?
Keywords
Chaotic Signal, Harmonic Signal, EMD, Effective Data Segment
Abstract

To further improve the performance of extraction of harmonic signal from chaotic background, an effective data segment based separation method for single channel signal was proposed. The single channel signal is mixed by chaotic signal and harmonic signal, and empirical mode decomposition (EMD) can transform the single channel signal into positive definite separation problem by intrinsic mode function (IMF). However, EMD has the endpoint effect problem which results in the signal distortion on boundary. Hereby we use the effective data segment of IMF to carry on the independent component analysis (ICA) processing to obtain the separation matrix, which can avoid the distortion signal effect on the result. Computer simulation verified that the proposed method is high availability.

Copyright
© 2016, 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 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-189-6
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.8How to use a DOI?
Copyright
© 2016, 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  - Peili Cong
PY  - 2016/06
DA  - 2016/06
TI  - Extraction Method of Harmonic Signal from Chaotic Background Based on Effective Data Segment
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 33
EP  - 36
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.8
DO  - 10.2991/icamcs-16.2016.8
ID  - Cong2016/06
ER  -