  In digital signal processing time-frequency transforms are used to analyze
time-varying signals with respect to their spectral contents over time. Apart
from the commonly used short-time Fourier transform, other methods exist in
literature, such as the Wavelet, Stockwell or Wigner-Ville transform.
Consequently, engineers working on digital signal processing tasks are often
faced with the question which transform is appropriate for a specific
application. To address this question, this paper first briefly introduces the
different transforms. Then it compares them with respect to the achievable
resolution in time and frequency and possible artifacts. Finally, the paper
contains a gallery of time-frequency representations of numerous signals from
different fields of applications to allow for visual comparison.
