While using a continuous wavelet transform for my research project, I came up with some questions.
Having a set of equations for a Morlet wavelet,
$\psi(t)=\sqrt{\frac{2}{\pi}}e^{-t^2/2}e^{i6t}$
$\hat{\psi}(\omega)=2e^{-(\omega-6)^2/2}$
I have calculated the time and frequency resolution (i.e., $\Delta t$ and $\Delta \omega$, respecitvely) such that
$\sigma_\psi^2=\frac{\int_{-\infty}^{\infty}(t-t_0)^2|\psi(t)|^2dt}{\int_{-\infty}^{\infty}|\psi(t)|^2dt}=\frac{1}{2}$ and $\sigma_\hat{\psi}^2=\frac{\int_{-\infty}^{\infty}(\omega-\omega_0)^2|\hat{\psi}(\omega)|^2d\omega}{\int_{-\infty}^{\infty}|\hat{\psi}(\omega)|^2d\omega}=\frac{1}{2}$ where $t_0=0$ and $\omega_0=6=2\pi f_0$ $\Delta t=\sigma_t=s\sigma_\psi$ and $\Delta \omega=\sigma_\omega=\frac{\sigma_\hat{\psi}}{s}$ where the scale $s$ is approximated with $\frac{f_0}{f\cdot \text{sampling period}}$
I have been trying to calculate the Heisenberg box as the intervals $[t-\frac{\sigma_t}{2},t+\frac{\sigma_t}{2}]$ and $[\omega-\frac{\sigma_\omega}{2},\omega+\frac{\sigma_\omega}{2}]$, but the computation resulted with counterintuitive values, with $\Delta t$ being extremely large and $\Delta \omega$ being extremely small for almost every $t$ and $\omega$ values I plugged in.
As I read some previous posts (including here), it seems the problem may be coming from the units of the resolutions. I read that the units of $\Delta t$ and $\Delta \omega$ are
$[\Delta t] = \frac{\text{samples}}{\text{cycles}\cdot\text{radians}}$
$[\Delta \omega] = \frac{\text{cycles}\cdot\text{radians}}{\text{samples}}$
If I convert samples to seconds, the resulting intervals for the Heisenberg box seem to make sense. However, even if I change samples to seconds, the units still include cycles in them, and I do not know how I should interpret the values qualitatively.
My main questions therefore are (1) if the equations defining $\Delta t$, $\Delta \omega$, and $s$ are mathematically correct, and (2) how I should change the units of time and frequency resolution so I can interpret them in seconds and Hz.
Thank you very much.