Super-resolution time-frequency maps

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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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

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

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