Bi-spectral higher order statistics and time-frequency domain features for arithmetic task classification from EEG signals

2017 ◽  
Author(s):  
T. Sarker ◽  
S. Paul ◽  
A. Rayhan ◽  
I. Zabir ◽  
C. Shahnaz
Keyword(s):  
Frequency Domain ◽  
Order Statistics ◽  
Higher Order ◽  
Higher Order Statistics ◽  
Eeg Signals ◽  
Arithmetic Task ◽  
Time Frequency ◽  
Task Classification

scholarly journals A Fuzzy Synthetic Evaluation Method of Flame Stability Based on Time–Frequency Analysis and Higher-Order Statistics

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1196 ◽  
Author(s):  
Haitao Zhang ◽  
Ming Zhou ◽  
Xudong Lan
Keyword(s):  
Order Statistics ◽  
Higher Order ◽  
Combustion Stability ◽  
Flame Stability ◽  
Higher Order Statistics ◽  
Flame Radiation ◽  
Time Frequency ◽  
Flame Combustion ◽  
Phase Domain ◽  
Synthetic Evaluation

The flame combustion processes involves chemical reactions and therefore flame stability is difficult to accurately assess. Based on flame radiation measuring parameters, a new synthetic evaluation system of flame combustion stability is established. A series of combustion conditions with various fuel/air ratios is investigated. Flame radiation luminance fluctuating information is acquired on a low-cost flame detection device. Power spectrum and bi-spectral information of the phase domain are derived from time domain signals based on Fourier transform and higher order statistics based upon a de-noising algorithm. The time–frequency characteristics and the features of the bi-spectrum under various combustion conditions are qualitatively analyzed, and the simultaneous descriptive parameters from time, frequency, and phase domain are extracted. A theoretical model for comprehensive fuzzy evaluation has been constructed, and also an index system has been established. It is demonstrated that this judgment system is reasonable and effective. The results can be used as an analyzing tool for process engineers for improving combustion conditions.

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