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Aug 25, 2017 at 13:26 vote accept dsax7
Aug 22, 2017 at 8:26 comment added dsax7 My question is more, whether the amplitude should be the factor that would indicate which the better correlation is or should I be looking for the peak?
Aug 22, 2017 at 6:16 comment added dsax7 Thanks for all of your answers! This made a lot of things clear, however, I have one last question. How would I be able to determine, which correlation is stronger, when comparing these two, as they look relatively the same and the strong peak is missing in both?
Aug 20, 2017 at 21:11 comment added Fat32 An envelope signal is always positive (nonnegative) hence its mean cannot be zero, therefore when computing the correlations this will affect the result. Or you could subctract the mean before processing. I cannot tell much about coherence analysis. Correlation is the most important tool to decide on similarities between two signals. I don't know why you don't want to use it. As I said, I cannot say much about coherence analysis. It's up to you then.
Aug 20, 2017 at 19:12 comment added dsax7 Why would it have consequences when it is zero mean? If the cross correlation is not a viable way to measure similarities in the two signals, how should I then achieve this? With coherence analysis?
Aug 20, 2017 at 18:19 comment added Fat32 Note that the envelope will be non-zero mean. It will have consequences...
Aug 20, 2017 at 16:57 comment added Fat32 yes you can use enlevopes instead of the signal itself for the correlation analysis but then you would be looking for a different kind of similarity other than waveform matching, which is the core concept of correlation. Note that different signals at different frequencies can have the same (or similar) envelopes.
Aug 20, 2017 at 16:12 comment added dsax7 Great answer! This really cleared up some questions. However, I am still wondering, would it make difference if I use the RMS envelopes of the two signals for the cross correlation?
Aug 20, 2017 at 13:18 history edited Fat32 CC BY-SA 3.0
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Aug 20, 2017 at 13:11 history answered Fat32 CC BY-SA 3.0