Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics

Flexible Techniques for Blind Signal Separation

Authors
Yongjian Zhao, Manlan Hao
Corresponding Author
Yongjian Zhao
Available Online August 2016.
DOI
10.2991/emcpe-16.2016.136How to use a DOI?
Keywords
Separation, Source, Component, Kurtosis, Process
Abstract

Traditional blind source separation (BSS) approach tries to recover all source signals from observed mixtures simultaneously. However, the recovered signals suffer from an inherent ambiguity on dilation and permutation. A flexible signal extraction process is deduced on the basis of kurtosis. Correspondingly, someone can extract only a few source signals or separate all source signals in a prescribed order. Therefore, the proposed method can provide more freedom in signal separation.

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 Environment, Materials, Chemistry and Power Electronics
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
978-94-6252-197-1
ISSN
2352-5401
DOI
10.2991/emcpe-16.2016.136How 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  - Yongjian Zhao
AU  - Manlan Hao
PY  - 2016/08
DA  - 2016/08
TI  - Flexible Techniques for Blind Signal Separation
BT  - Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
PB  - Atlantis Press
SP  - 492
EP  - 495
SN  - 2352-5401
UR  - https://doi.org/10.2991/emcpe-16.2016.136
DO  - 10.2991/emcpe-16.2016.136
ID  - Zhao2016/08
ER  -