  This letter is focused on the design and analysis of computational wideband
time-reversal imaging algorithms, designed to be adaptive with respect to the
noise levels pertaining to the frequencies being employed for scene probing.
These algorithms are based on the concept of cell-by-cell processing and are
obtained as theoretically-founded decision statistics for testing the
hypothesis of single-scatterer presence (absence) at a specific location. These
statistics are also validated in comparison with the maximal invariant
statistic for the proposed problem.
