Gabor wavelets are wavelets invented by Dennis Gabor using complex functions constructed to serve as the basis for Fourier transforms.
They are very similar to Morlet wavelets.
They are also closely related to Gabor filters.
The important property of the wavelet is that it minimizes the product of its standard deviations in the time and frequency domain, the uncertainty on the information carried by this wavelet is minimized.
Since their creation, various applications have appeared such as image processing.
The Gabor wavelet is a kind of Gaussian modulated sine wave.
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