SNR estimation from single vector
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I'm interested in estimating the SNR of a signal with a wandering mean and no defined "signal" and "noise" vector. I have the following data, call it x:
My initial thought was to run it through a high-pass filter with a really low cutoff to get a steady, zero-mean signal. Then I would take the amplitude of the signal over the variance of the entire signal:
SNR = min(x)^2/var(x)
However, I have a feeling this is overly complicated and not a very good estimation. Thoughts?
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Walter Roberson
2016-1-26
The data file did not get attached.
Sounds to me as if you want a low-pass filter.
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Image Analyst
2016-1-26
Maybe try a Savitzky-Golay filter. Experiment around with different orders and window widths until you achieve the "look" you want. I attach a demo.
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