## High-resolution time-frequency representation of EEG data using multi-scale wavelets

- Yang Li, Wei-Gang Cui, Mei-Lin Luo, Ke Li, Lina Wang
- Int. J. Systems Science
- 2017

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@article{Tsatsanis1993TimevaryingSI, title={Time-varying system identification and model validation using wavelets}, author={Michail K. Tsatsanis and Georgios B. Giannakis}, journal={IEEE Trans. Signal Processing}, year={1993}, volume={41}, pages={3512-3523} }

- Published 1993 in IEEE Trans. Signal Processing
DOI:10.1109/78.258089

Parametric identification of time-varying (TV) systems is possible if each TV coefficient can be expanded onto a finite set of basis sequences. The problem then becomes time invariant with respect to the parameters of the expansion. In this paper, we address the question of selecting this set of basis sequences. We advocate the use of a wavelet basis because of its flexibility in capturing the signal’s characteristics at differerent scales, and discuss how to choose the optimal wavelet basis… CONTINUE READING

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