Time-Frequency MUSIC Encephalon Source Localization Algorithm in Impulsive Stable Distribution Noise

DOI

10.2991/isci-15.2015.156How to use a DOI?

Keywords

Magnetoencephalograph; Source localization; Alpha( ) stable distribution; Multiple Signal Classification

Abstract

Magnetoencephalograph spatial Time-Frequency Multiple Signal Classification (MEG-TF-MUSIC)can work well in essential and sensor noises environment, but a pulse noise exist in MEG array processing data, they can be described by stable distribution. The performance of MEG-TF-MUSIC degenerate in stable distribution environment, Hence, we define the fractional lower order moments spatial time-frequency distribution matrix (FLOM-STFDM) concept based on fractional lower order covariance, and MEG spatial Time-Frequency Fractional Lower order Multiple Signal Classification(FLO-MEG-TF-MUSIC) method in which STFDM is replaced by FLOM-STFDM is proposed, procedures of algorithm is introduced in this paper, it can effectively reduce he source location estimation mean square error (MSE) . Simulations show that the technique demonstrate the advantages than MEG-TF-MUSIC in stable distribution environment, is robust.

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/).

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TY  - CONF
AU  - Hai-bin Wang
AU  - Peng Li
AU  - Huicheng Xie
AU  - Jun-bo Long
AU  - Dai-feng Zha
PY  - 2015/01
DA  - 2015/01
TI  - Time-Frequency MUSIC Encephalon Source Localization Algorithm in Impulsive Stable Distribution Noise
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1182
EP  - 1190
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.156
DO  - 10.2991/isci-15.2015.156
ID  - Wang2015/01
ER  -