We measured signal X in two methods(M1, M2), and we want to compare the two signals Xm1, Xm2. What's the best method to measure the similarity between the two signals and the information content, in other words, how can we approve that the measuring methods didn't affect the content of signals ? do we need to measuring similarities or studying information content?.
The Bland-Altman test is often performed to determine if the quantitative values measured by the two techniques fall within a desired precision of each other. If you are not interested in the quantitative values from the two different measurement methods, then correlation is often sufficient, depending on your exact needs.
https://en.wikipedia.org/wiki/Bland%E2%80%93Altman_plot
The classical measurement of similarity is cross-correlation.
Signal traits by what Fernando suggestions and by information content do you mean outcomes on what the signals are meant to provide? (Intraclass, spearmans, correlation, etc)
The Bland-Altman test is often performed to determine if the quantitative values measured by the two techniques fall within a desired precision of each other. If you are not interested in the quantitative values from the two different measurement methods, then correlation is often sufficient, depending on your exact needs.
https://en.wikipedia.org/wiki/Bland%E2%80%93Altman_plot
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