Kurtosis Based Techniques for Signal Extraction
Authors
Yongjian Zhao, Manlan Hao
Corresponding Author
Yongjian Zhao
Available Online August 2016.
- DOI
- 10.2991/emcpe-16.2016.137How to use a DOI?
- Keywords
- Independence, Separation, Mixture, Source, Kurtosis
- Abstract
As a practical measure of non-Gaussianity, kurtosis generally represents the preferred technique for signal extraction. Here a learning rule is presented associated with kurtosis. It can recover one source signal owning the maximum absolute value of kurtosis among all original sources. Computer simulations on biomedical signals demonstrate its efficiency.
- 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 - Kurtosis Based Techniques for Signal Extraction BT - Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics PB - Atlantis Press SP - 496 EP - 499 SN - 2352-5401 UR - https://doi.org/10.2991/emcpe-16.2016.137 DO - 10.2991/emcpe-16.2016.137 ID - Zhao2016/08 ER -