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In signal processing, estimation is a technique for approximating an unobserved signal from an observed signal containing noise.

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Justification for Squared $ {L}_{2} $ Data and Smoothness Term as an Error Bound

Often in variational methods (and not only) we have an energy that is of the form: $$E(u) = \frac{1}{2}\|f-u\|^2_2 + \frac{\alpha}{2}\|\psi(u)\|^2_2,$$ where the first term is referred to as the data …
lightxbulb's user avatar
1 vote

Justification for Squared $ {L}_{2} $ Data and Smoothness Term as an Error Bound

I figured out how to show that after some time. It's just Jensen's inequality wrt $\|\cdot\|^2_2$ which is a convex function. That is, I first apply the triangle inequality to: $$\|u-g\|_2 = \|(1-\gam …
lightxbulb's user avatar