In summary, normalized error refers to a measure of the difference between two signals that takes into account the scale and magnitude of the signals. It is used to evaluate the accuracy and precision of a signal and can be used in various fields such as signal processing and statistics. Normalized error allows for a more meaningful and comparable analysis of the discrepancy between two signals, as it accounts for variations in the magnitude of the signals.
#1
Anissa
Hi, I'm a new member in this forum. my question : How calculated the normalized error with two signals?
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