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One approach that is similar to, but a little more robust than, your original method is to use the Peak Detection vi which fits a quadratic to the data, and returns a fractional index. Here I've used it just to shift each waveform so that the peak is at zero, but you could use the shift information in different ways. Here's a noisy signal, and increasing the width of the fit seems to cope with it ok.
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Thanks for the process walk-thru. Unfortunately when I first read it I didn't know enough for it to help. Now it make perfect sense!1 point
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Well here are about 10 options with my favorite being the one already linked to in the first post of this thread. You decide what is the best fit for your application.1 point
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