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Entry  Mon Dec 14 16:46:42 2015, ericq, Update, WienerFiltering, Noise Subtraction Puzzler subpuzz.pdf
    Reply  Thu Jan 7 15:29:54 2016, ericq, Update, WienerFiltering, Noise Subtraction Puzzler subpuzz2.pdfpuzzle.zip
       Reply  Thu Jan 14 15:08:37 2016, ericq, Update, WienerFiltering, Noise Subtraction Puzzler subpuzz_resolved.pdf
          Reply  Thu Jan 14 18:41:36 2016, rana, Update, WienerFiltering, Noise Subtraction Puzzler 
Message ID: 11934     Entry time: Thu Jan 14 18:41:36 2016     In reply to: 11933
Author: rana 
Type: Update 
Category: WienerFiltering 
Subject: Noise Subtraction Puzzler 

Just not just pedagogical !  Freq domain MISO coherence based subtraction estimation is much faster than calculating MISO WF. And since each bin is independent of each other, this gives us an estimate of how low the noise can go, whereas the Wiener filter is limited by Kramers-Kronig. We should be able to use this on the L1 DARM channel to do the noise hunting as well as estimating the subtraction efficacy of the pseudo channels that you and Rory come up with.

If you can code up a noise hunter example using DARM + a bunch of aux channels, we could implement it in the summary pages code.

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