The Power Spectrum Estimation of the AR Model Based on Motor Imagery EEG

Li Zhao; Yang He

doi:10.4028/www.scientific.net/AMR.706-708.1923

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 706-708The Power Spectrum Estimation of the AR Model...

The Power Spectrum Estimation of the AR Model Based on Motor Imagery EEG

Abstract:

This paper uses three common AR model power spectrum estimation algorithms which are the Yule-Walker method, the burg method and the improved covariance method. Taking Matlab as a tool, the corresponding algorithms are used to carry out the power spectrum estimation of motor imagery EEG, the relationships and distinctions between the spectrum charts are compared in order to find the relatively appropriate algorithm for analyzing the EEG, which aims at providing a theoretical guidance for processing the motor imagery EEG and laying a foundation for further research.

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Periodical:

Advanced Materials Research (Volumes 706-708)

Pages:

1923-1927

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.706-708.1923

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Online since:

June 2013

Authors:

Li Zhao, Yang He

Keywords:

AR Model, Burg Method, Improved Covariance Method, Power Spectrum Estimation, Yule-Walker Method

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