The modulated waves of section 14 are processed using the Morlet wavelet, and their local norms are shown below.
For the 
signal, the Morlet wavelet shows the continuous
shift toward high frequencies (Fig. 17) (Note: the ordinates should be
labeled `Period (s)'. I will redo these plots at some point).
The most striking difference with the Mexican-hat transform
in section 14 is the shift in emphasis from the individual maxima
and minima to the local periodicity.
signal.
In the case of the amplitude/frequency modulated wave (Fig. 18), the results are less clear than in the Mexican hat case, because no frequency has time to get established and `resonate' with this particular wavelet.
Finally, for the intermittent data, the Morlet wavelet (Fig. 19) establishes a clear distinction between the random fluctuations and the periodic patches. It is noteworthy that the period of the sine waves is determined much more accurately than with the Mexican hat: the compromise between spatial and spectral localization is clearly demonstrated: Morlet favors spectral accuracy while Mexican hat favors individual event localization.
Thus, the selection of the wavelet will be quite important, and practice will guide the user to some standard wavelets. In all instances, it will be important to interprete the results by keeping in mind what different wavelets can and cannot do.