scholarly journals Power spectrum estimation of complex signals and its application to Wigner-Ville distribution: A group delay approach

Sadhana ◽  
1998 ◽  
Vol 23 (1) ◽  
pp. 57-71 ◽  
Author(s):  
S V Narasimhan ◽  
E I Plotkin ◽  
M N S Swamy
Keyword(s):  
Power Spectrum ◽  
Group Delay ◽  
Spectrum Estimation ◽  
Complex Signals ◽  
Power Spectrum Estimation

Power spectrum estimation of complex signals: group delay approach

1999 ◽  
Vol 35 (25) ◽  
pp. 2182 ◽  
Author(s):  
S.V. Narasimhan ◽  
E.I. Plotkin ◽  
M.N.S. Swamy
Keyword(s):  
Power Spectrum ◽  
Group Delay ◽  
Spectrum Estimation ◽  
Complex Signals ◽  
Power Spectrum Estimation

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

2013 ◽  
Vol 706-708 ◽  
pp. 1923-1927 ◽  
Author(s):  
Li Zhao ◽  
Yang He
Keyword(s):  
Power Spectrum ◽  
Motor Imagery ◽  
Ar Model ◽  
Spectrum Estimation ◽  
Power Spectrum Estimation ◽  
Estimation Algorithms ◽  
Model Based

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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