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I am currently trying to deconvolute 2 vectors (a & b) from 1 (c). Actually, I have access to the recorded data of (a) & (c) but not (b). All are signal vs time with signal totally random. I convert everything in histogram and I'd like to extract only the distribution of (b) for my work. Of course I can not only recorded it. Do you know a reliable approach to "remove" the data from (a) to the data from (c)? So far, I tried to simply subtract the frequency of (a) to (c) but a part of the distribution of (b) is still missing and I don't know how to rebuilt the missing part. If you have any idea, please let me know. Cheers!

Philibert_L
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    When asking for help, you should include a simple [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) with sample input and desired output that can be used to test and verify possible solutions. But if you are looking for a method, then that's not really a programming question. You might get better help at [stats.se] instead. – MrFlick Aug 01 '18 at 14:42
  • Look for Wiener filter. – Cris Luengo Aug 01 '18 at 14:53

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