  We describe a new method involving wavelet transforms for deriving the wind
velocity associated with atmospheric turbulence layers from
  Generalized SCIDAR measurements. The algorithm analyses the cross-correlation
of a series of scintillation patterns separated by lapses of Dt,
  2Dt, 3Dt, 4Dt and 5Dt using wavelet transforms. Wavelet analysis provides the
position, direction and altitude of the different turbulence layers detected in
each cross-correlation. The comparison and consistency of the turbulent layer
displacements in consecutive cross-correlations allow the determination of
their velocities and avoid misidentifications associated with noise and/or
overlapping layers. To validate the algorithm, we have compared the velocity of
turbulence layers derived on four nights with the wind vertical profile
provided by balloon measurements. The software is fully automated and is able
to analyse huge amounts of Generalized SCIDAR measurements.
