Coherence Estimation between EEG signals using Multiple Window Time-Frequency Analysis compared to Gaussian Kernels
Author
Summary, in English
In this paper we investigate different approaches to estimate time local coherence between two real valued signals. Our results indicate that the method using two dimensional Gaussian kernels has a slightly better average SNR compared to the multiple window approach. On the other hand, the multiple window approach has a more narrow SNR distribution and seems to perform better in the worst case.
Department/s
- Mathematical Statistics
- Statistical Signal Processing Group
Publishing year
2006
Language
English
Publication/Series
14th European Signal Processing Conference
Links
Document type
Conference paper
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
Topic
- Probability Theory and Statistics
Keywords
- Non-stationary
- Time-Frequency-Analysis
- EEG
- Coherence
Conference name
14th European Signal Processing Conference (EUSIPCO 2006)
Conference date
2006-09-04 - 2006-09-08
Conference place
Florence, Italy
Status
Published
Research group
- Statistical Signal Processing Group