Open kdrushka opened 3 years ago
I would like to use tracked changes to make suggestions on this paper, but I notice it has been written with a free version of overleaf. https://www.overleaf.com/project/5f8f0594cf685a00011a9b5b
I'd be happy to copy the paper over to my paid account so we can use tracked changes and other paid features. What do you think?
I think using track changes would be helpful. Seeing that I use overleaf a lot for multiple projects, I'd be happy to upgrade my account.
Hey Ryan, Thanks for adding that section in the manuscript last Friday. I wanted to reach out to again clarify what we have talked about a few times now. My question is that in equations you added, you write the filtering operator $$\langle \rangle$$ as acting on \eta^2....(i.e. $$\langle \eta^2 \rangle$$) In my experience, and like you mentioned when we last spoke about this, the filtered squared quantity does not really change with filter scale. I thought that the variance at scales larger than $l$ should be written as $$\langle \eta \rangle^2_l$$. With the square outside the angle brackets? Am I confusing this again? Thanks.
Very good point Jake. I'm looking into this today. I made have made a mistake in my haste to get this done.
Jake you were definitely right about this. I got confused when translating this into the multi-band framework. The key point, derivable from the mathematical properties of convolution is that the filters are conservative, meaning that
$$ \int \langle \eta^2 \rangle dx = \int \eta^2 dx $$
for any filter. So it is pointless to try to decompose variance that way!
I have rewritten it with the square outside of the convolution, and I think it makes more sense now. A "band" of variance is defined as
$$ \taun(\eta^2) = \langle \eta \rangle{\elln}^2 - \langle \eta \rangle{\ell_{n-1}}^2 $$
With the highest band as
$$ \tauN(\eta^2) = \eta^2 - \langle \eta \rangle{\ell_{N-1}}^2 $$
The only ambiguity is whether you also want to do smoothing on the first term on the RHS, i.e.
$$ \tauN(\eta^2) = \langle \eta^2 \rangle{\ell{N-1}} - \langle \eta \rangle{\ell_{N-1}}^2 $$
This makes sense when you only have one filter (like in the bar-prime notes), but I'm not sure it's necessary once we move into the spectral view. Do you have thoughts on this?
p.s if you do it in the second way, then you should probably also do the band pass as
$$ \taun(\eta^2) = \langle \langle \eta \rangle{\elln}^2 \rangle{\ell{n-1}} - \langle \eta \rangle{\ell_{n-1}}^2 $$
which looks pretty ugly.
Thanks for revisiting the idea and rewriting a bit of that section. Your comments make sense and I think the way you have it written now works (as a side note I'll probably go back and switch \eta for u). Regarding the choice of whether or not to filter that first term $$ \langle \eta^2 \rangle{\ell{N-1}} ... I'll compare the two cases. I think I would leave it when applying only one filter (like in the bar/prime paper), but then in the spectral view follow the notation you've just updated (eq. 11 I believe). Thanks again! Hope you have a good weekend.
"Scale-Aware Along-Track SLA Variance" doc in overleaf