The 3B1B YouTube channel has a video The more general uncertainty principle, regarding Fourier transforms which looks at thin peaks in frequency domain corresponding to long-lasting pulses in time domain, and vice versa. The transformation that makes these comparisons possible is the Fourier transform. Unfortunately no equation or mathematical relation is given in the video for this principle. Perhaps there exists a functional equation for this principle, or perhaps it is just something that visual inspection seems to confirm.
The Tom Rocks Maths' YouTube channel has a video Heisenberg's Uncertainty Principle with @Michael Penn that derives the famous $\sigma_x \sigma_p \geq \frac{\hbar}{2}$ using (quantum) expectations and Schrodinger's equation.
I want to learn how closely related these concepts actually are.
On the face of it, the two explanations give me the impression that they are logically independent things because the general uncertainty principle assumes nothing about Schrodinger's equation and could really apply to almost any signal.
But within QM we can think about both of these notions, motivating an ability to distinguish them. Certainly the complex exponential functions involved in solutions to Schrodinger's equation entail a relationship to Fourier series via Euler's formula, so it is natural to suspect that a correspondence between the inverse domains of the Fourier transform should feature somewhere in understanding QM. It isn't clear to me whether this general uncertainty principle is a natural generalization of Heisenberg's uncertainty principle, or only under certain constraints, or even that they are still logically independent considerations within QM.
What relationship, if any, exists between these two principles?