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I am trying to figure out if there is any standard way of normalizing a sequence such as a time series against a reference sequence. I am not an expert on signal processing but I was hoping someone would be able to point out a good way of doing this. Specifically, I am working on image analysis where I measure pixel intensities along linescans. This gives me two intensity profiles along space (from 2 channels). I am trying to normalize 1 channel against the 2nd one (reference).

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  • $\begingroup$ Normalize to equal energy, maybe? $\endgroup$ – Atul Ingle Sep 8 '17 at 18:38
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I assume your reference image data y_reference is acquired when there is no light on the image sensor - that's the standard thing to do. Then the usual normalized signal is y_normalized = (y_signal - y_reference) / y_max where y_signal is the signal image data and y_max is the maximum possible pixel output. y_max can be measured by increasing the light level on the image sensor until the output no longer increases.

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