Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

Constrain Component Extraction Techniques

Authors
Yongjian Zhao
Corresponding Author
Yongjian Zhao
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.154How to use a DOI?
Keywords
Extraction; Mixture; Component; Signal; Function
Abstract
Component extraction is wide used in biomedical signal processing. Traditional independent component analysis (ICA) techniques aim to estimate all underling components from their mixtures simultaneously. To overcome the drawbacks, a constrained separation approach is presented for extraction of one or a few desired source signals. Its performance is demonstrated by computer simulations on biomedical signals.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
Series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.154How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yongjian Zhao
PY  - 2015/04
DA  - 2015/04
TI  - Constrain Component Extraction Techniques
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 796
EP  - 799
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.154
DO  - https://doi.org/10.2991/icmra-15.2015.154
ID  - Zhao2015/04
ER  -