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Methods Inf Med 2013; 52(04): 297-307
DOI: 10.1055/s-0038-1627059
Original Articles
Schattauer GmbH

Discussion of “Time-frequency Techniques in Biomedical Signal Analysis: A Tutorial Review of Similarities and Differences”

C. Baumgartner
1   Institute of Electrical and Biomedical Engineering, Department for Biomedical Informatics and Mechatronics, UMIT – The Health and Life Sciences University, Hall in Tirol, Austria
,
K. J. Blinowska
2   Faculty of Physics, University of Warsaw, Warsaw, Poland
,
A. Cichocki
3   Laboratory for Advanced Brain Signal Processing, Brain Science Institute RIKEN, Saitama, Japan, and Systems Research Institute, Polish Academy of Science, Warsaw, Poland
,
H. Dickhaus
4   Institute of Medical Biometry and Informatics, Heidelberg University Hospital, Heidelberg, Germany
,
P. J. Durka
2   Faculty of Physics, University of Warsaw, Warsaw, Poland
,
P. V. E. McClintock
5   Department of Physics, Lancaster University, Lancaster, United Kingdom
,
G. Pfurtscheller
6   Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria
,
A. Stefanovska
5   Department of Physics, Lancaster University, Lancaster, United Kingdom
,
S. Tong
7   Neural Engineering Lab, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China
› Author Affiliations
Further Information

Publication History

Publication Date:
20 January 2018 (online)

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Keywords

Gabor transform - Morlet wavelet transform - Wigner-Ville distribution - matching pursuit - Hilbert-Huang transform
 

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