  Particle Image Velocimetry (PIV) has become increasingly popular to study
structures in turbulent flows. PIV allows direct extraction and investigation
of spatial structures in the given flow field. Increasing temporal resolution
of PIV systems allows a more accurate capture of the flow evolution. Despite
the very good spatial resolution of PIV, current systems can only match the
multiple $kHz$ sampling rates of hot-wire or Laser Doppler Anemometer (LDA)
measurements for a very short period in temporal analyses of flow. In this
study, an advection-based approach is presented which uses Taylor's hypothesis
of "frozen turbulence" for small scale turbulent patterns. Compared to the
underlying raw data a major increase of the temporal resolution for extracted
time series is shown. The quality of the presented approach is shown for
two-point analyses, which would not be possible with presently known methods.
To demonstrate this, different turbulent flow cases behind a fractal grid are
studied. For the validation of the results corresponding hot-wire measurements
at various positions along the centerline were used.
