This paper presents a novel zoom transform algorithm
for a more reliable frequency estimation. In fact,
in many signal processing problems exact determination
of the frequency of a signal is of paramount importance.
Some techniques derived from the Fast Fourier Transform
(FFT), just pad the signal with enough zeros in order to better
sample its Discrete-Time Fourier Transform. The proposed
algorithm is based on the FFT and avoids the problems
observed in the standard heuristic approaches. The
analytic formulation of the novel approach is presented
and illustrated by means of simulations over short-time
based signals. The presented examples demonstrate that
the method gives rise to precise and deterministic results.