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Computes the combinations of multiple sets of continuous wavelet transforms (time-frequency maps) obtained for different quality factors Qf of the Gabor mother wavelet as well as for different rotations in the time-frequency space of the mother wavelet (chirplets). By combining the set of wavelet transforms using different projection methods, the resolution of the resulting time-frequency map is increased. The projection methods include averaging (default), minimum intensity projection, maximum intensity projection, geometric mean, and quantiles. Can be applied to creating super-resolution time-frequency maps of electroencephalographic (EEG) or other types of signals.
Citation pour cette source
Andrei Barborica (2026). Super-resolution time-frequency maps (https://fr.mathworks.com/matlabcentral/fileexchange/57348-super-resolution-time-frequency-maps), MATLAB Central File Exchange. Extrait(e) le .
Informations générales
- Version 3.0.0.0 (653 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec les versions R2014b et ultérieures
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 3.0.0.0 | Updated to support chirplets, quantiles and geometric mean as projection methods |
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| 2.0.0.0 | Implemented support for different projection methods, using optional 'Method' name-value pair, that can take the values 'Average' (default), 'MinIP' and 'MIP'. 'MinIP' is a "hard" projection method while 'Average' can be considered a "soft" method. |
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| 1.0.0.0 | Added a script QCWTDemo.m and sample EEG data illustrating the use of the function.
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