rarara
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Hello folks,
I am an out-of-my-depths biologist looking for some guidance. I have a reference signal and 2 other signals. Signal 1 independently measures the same event as signal ref but signal 1 generally underestimates signal ref. Signal 2 is measured the same way as signal 1 but but it measures a response to signal 1. What I would like to do is 'correct' signal 2 by taking advantage of the fact that signal 1 and signal ref are correlated (signal ref is far more accurate/reliable than signal 1). So far I've managed to align the three signals as best I can by cross correlating each pair and adjusting them by the appropriate delay. The delay adjusted signal ref and signal 1 have a normalized correlation coefficient r = 0.8 at lag = 0. For the other two pairs r > 0.5 at lag = 0. I was hoping that by aligning them I could find the factor by which signal ref and 1 vary at each time step and adjust signal 2 by that factor - but this isn't churning up good results.
Does anyone have any suggestions?
appreciated
I am an out-of-my-depths biologist looking for some guidance. I have a reference signal and 2 other signals. Signal 1 independently measures the same event as signal ref but signal 1 generally underestimates signal ref. Signal 2 is measured the same way as signal 1 but but it measures a response to signal 1. What I would like to do is 'correct' signal 2 by taking advantage of the fact that signal 1 and signal ref are correlated (signal ref is far more accurate/reliable than signal 1). So far I've managed to align the three signals as best I can by cross correlating each pair and adjusting them by the appropriate delay. The delay adjusted signal ref and signal 1 have a normalized correlation coefficient r = 0.8 at lag = 0. For the other two pairs r > 0.5 at lag = 0. I was hoping that by aligning them I could find the factor by which signal ref and 1 vary at each time step and adjust signal 2 by that factor - but this isn't churning up good results.
Does anyone have any suggestions?
appreciated