Summary
The literature regarding real functions which optimize Gabor's joint uncertainty
metric contains contradictions. In this presentation we have come to the following
conclusions:
- While Hermite functions are well localized, they are not optimal.
- While Gaussian derivatives are not optimal, they are more local
than Hermite functions.
