In one embodiment, a method for wavelet analysis of one or more acoustic signals
to identify one or more anomalies in an object includes receiving an acoustic signal
from an acoustic scan of an object and calculating a wavelet power spectrum of
the acoustic signal. The method also includes accessing a library of one or more
reference wavelet power spectra that each correspond to one or more objects that
comprise one or more known anomalies and comparing the wavelet power spectrum with
one or more reference wavelet power spectra. If the wavelet power spectrum from
the acoustic scan corresponds to one or more reference wavelet power spectra, analysis
results are communicated indicating that the object under analysis comprises one
or more particular known anomalies corresponding to the one or more reference wavelet
power spectra that correspond to the wavelet power spectrum. If the wavelet power
spectrum does not correspond to one or more reference wavelet power spectra, analysis
results are communicated indicating that the object under analysis lacks the one
or more known anomalies that the one or more reference wavelet power spectra in
the library correspond to.