@Szabolcs (hope this gets to you) or @rcollyer: Do you know of a MMA implementation of the "total variation regularization" links you have in this question: stackoverflow.com/questions/6502440/… for discrete data?
@rcollyer, @Szabolcs thanks! I just found a matlab implementation, so I'll just translate that, thought I already have a gaussian filter implementation that is working reasonably well :)
@Szabolcs and @Fx thanks. Sometimes I get tired of answering that question, and it surfaces every couple of weeks it seems. But, I'm relieved others don't think I was being to harsh.
I have recently put together a package in response to a question I posted on Importing HDF5 with compound data and I want to make it available for use and collaboration. I have two questions (there maybe others I should be asking so feel free to point them out):
1) Where to post the package?
O...
Average number of questions/day now dropped slightly below 10. Time for some publicity action again I'd say. Fire up your blogs, twitter, FB, LinkedIn, newsgroup etc.!
@tkott if you're looking for Gaussian filters and scale space this site of a former colleague of mine and MMA enthusiast Bart ter Haar-Romenij could be useful. Lots of courseware, books and mma code sample
@SjoerdCdeVries Thanks, that actually looks like a great resource for MMA + Image analysis. I actually am applying it to 2D data (i.e., {{x1,y1}..}) that I need to smoothly differentiate. I implemented the method from the link above, and it works, but slowly. On monday I'll take a stab at improving it and then probably post as a question :)
@tkott Did you see the answer I gave to the question you linked to? It's about smooth differentiation of 1D data but it should be straightforward to adapt to your needs.
Yup, I tried that first, but it wasn't quite smooth enough to be useful. I had some time to implement that total variation regularization, and play around with SparseArrays in MMA for the first time, so I just translated it from a MATLAB file.