  A new interpretation for the wavelet analysis is reported, which can is
viewed as an information processing technique. It was recently proposed that
every basic wavelet could be associated with a proper probability density,
allowing defining the entropy of a wavelet. Introducing now the concept of
wavelet mutual information between a signal and an analysing wavelet fulfils
the foundations of a wavelet information theory (WIT). Both continuous and
discrete time signals are considered. Finally, we showed how to compute the
information provided by a multiresolution analysis by means of the
inhomogeneous wavelet expansion. Highlighting ideas behind the WIT are
presented.
