  A study of correlations in tractable multiparticle cascade models in terms of
wavelets reveals many promising features. The selfsimilar construction of the
wavelet basis functions and their multiscale localization properties provide a
new approach to the statistical analysis and analytical control of
hierarchically organized branching processes. The exact analytical solution of
several discrete models shows that the wavelet transformation supresses
redundancy in the correlation information. Wavelet correlations can be
naturally interpreted as correlations between structures (clumps) living on
different scales.
