Super-resolution time-frequency maps

Versione 3.0.0.0 (653 KB) da Andrei Barborica
Increases resolution of time-frequency maps by combining CWT maps for different Q-factors and rotations (chirplets) of the mother wavelet
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Aggiornato 19 nov 2025

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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.

Cita come

Andrei Barborica (2025). Super-resolution time-frequency maps (https://it.mathworks.com/matlabcentral/fileexchange/57348-super-resolution-time-frequency-maps), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2023a
Compatibile con R2014b e release successive
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Versione Pubblicato Note della release
3.0.0.0

Updated to support chirplets, quantiles and geometric mean as projection methods
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.
1.0.0.0

Added a script QCWTDemo.m and sample EEG data illustrating the use of the function.
Added example of use and thumbnail