DocumentCode
2056363
Title
Optimal time frequency analysis of multiple time-translated locally stationary processes
Author
Brynolfsson, Johan ; Hansson-Sandsten, Maria
Author_Institution
Centre for Math. Sci., Lund Univ., Lund, Sweden
fYear
2013
fDate
9-13 Sept. 2013
Firstpage
1
Lastpage
5
Abstract
A previously proposed model for non-stationary signals is extended in this contribution. The model consists of multiple time-translated locally stationary processes. The optimal Ambiguity kernel for the process in mean-square-error sense is computed analytically and is used to estimate the time-frequency distribution. The performance of the kernel is compared with other commonly used kernels. Finally the model is applied to electrical signals from the brain (EEG) measured during a concentration task.
Keywords
electroencephalography; mean square error methods; medical signal processing; time-frequency analysis; EEG; electrical signals; mean-square-error; multiple time-translated local stationary process; nonstationary signals; optimal Ambiguity kernel; optimal time frequency analysis; time-frequency distribution; Abstracts; Filtering; Kernel; Noise measurement; Presses; Smoothing methods; TV; EEG; Locally stationary process; Optimal Ambiguity kernel; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location
Marrakech
Type
conf
Filename
6811550
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