Random bend losses in single-mode optical-fibre cables: power-spectrum estimation from spectral losses

1978 ◽  
Vol 14 (19) ◽  
pp. 653 ◽  
Author(s):  
Kazuhito Furuya ◽  
Yasuharu Suematsu
Keyword(s):  
Power Spectrum ◽  
Optical Fibre ◽  
Single Mode ◽  
Spectrum Estimation ◽  
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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