  Strong variations of any kind and causes within a stellar light curve may
prohibit the detection of transits, particularly of faint or shallow transits
caused by small planets passing in front of the stellar disk. The success of
future space telescopes with the goal for finding small planets will be based
on proper filtering, analysis and detection of transits in perturbed stellar
light curves. The wavelet-based filter methods VARLET and PHALET, developed by
RIU-PF, in combination with the transit detection software package EXOTRANS
allow the extraction of (i) strong stellar variations, (ii) instrument caused
spikes and singularities within a stellar light curve, (iii) already detected
planetary or stellar binary transits in order to be able to search for further
planets or planets about binary stars. Once the light curve is filtered,
EXOTRANS is able to search efficiently, effectively and precisely for transits,
in particular for faint transits.
