It is supposed that the support of the wavelet y is [-K/2, K/2 ]. For a signal of size N and 1<=aJ< = N/K, we can define a discrete wavelet by sampling at scale AJ on integers, that is to say :
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The signal and the wavelet are periodic over one period N, the discrete wavelet transform of F is:
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This is a circular convolution between F and y1[ n]=y[-n ]. These circular convolutions are calculated by a FFT and requires O(N log2(N)) operations.
The scalogramme is computed with the wavelet transform and we can make
a parabolic interpolation on the scales for better localisation of the
peaks of the wavelet.
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