  While sensing in high temporal resolution is necessary for wide range of
application, it is still limited nowadays due to cameras sampling rate. In this
work we try to increase the temporal resolution beyond the Nyquist frequency,
which is limited by the sampling rate of the sensor. This work establishes a
novel approach for Temporal-Super-Resolution that uses the object reflecting
properties from an active illumination source to go beyond this limit.
Following theoretical derivation, we demonstrate how we can increase the
temporal spectral detected range by a factor of 6 and possibly even more. Our
method is supported by simulations and experiments and we demonstrate as an
application, how we use our method to improve in about factor two the accuracy
of object motion estimation.

Signal Processing;Image and Video Processing;Optics