The Auxiliary Model Based Hierarchical Estimation Algorithms for Bilinear Stochastic Systems with Colored Noises

2019 ◽  
Vol 18 (3) ◽  
pp. 650-660 ◽  
Author(s):  
Chunqiu Guo ◽  
Longjin Wang ◽  
Fang Deng
Keyword(s):  
Stochastic Systems ◽  
Auxiliary Model ◽  
Estimation Algorithms ◽  
Model Based ◽  
Hierarchical 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.

scholarly journals Model-based state of charge estimation algorithms under various current patterns

2019 ◽  
Vol 158 ◽  
pp. 2806-2811 ◽  
Author(s):  
Shi Li ◽  
Changfu Zou ◽  
Mirco Küpper ◽  
Stefan Pischinger
Keyword(s):  
State Of Charge ◽  
Estimation Algorithms ◽  
Model Based ◽  
State Of Charge Estimation
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