Separation of the Alfv\'{e}n mode from a turbulent velocity field using   wavelets
  We report the first attempt to mode decomposition of the velocity field using wavelet transforms in the application to the magnetized turbulence analysis. We compare results of the separation with respect to the global and local mean magnetic field for models with a strong and weak external magnetic field. We show, that for models with a strong external magnetic field our results are relatively consistent for both methods. However, for superAlfv\'{e}nic turbulence with spatially variable direction of the local mean magnetic field the differences are substantial. 
Grzegorz Kowal and Alex Lazarian