  We present the results of a wavelet-based approach to the study of the
chaotic dynamics of a one dimensional model that shows a direct transition to
spatiotemporal chaos. We find that the dynamics of this model in the
spatiotemporally chaotic regime may be understood in terms of localized
dynamics in both space and scale (wavenumber). A projection onto a Daubechies
basis yields a good separation of scales, as shown by an examination of the
contribution of different wavelet levels to the power spectrum. At most scales,
including the most energetic ones, we find essentially Gaussian dynamics. We
also show that removal of certain wavelet modes can be made without altering
the dynamics of the system as described by the Lyapunov spectrum.
