Signal averaging involves taking multiple measurements of the same signal and then computing the average. The process works on the premise that while the desired signal remains consistent across measurements, the noise is random and varies. By averaging, the consistent signal reinforces, while the random noise tends to cancel out, resulting in a clearer and more accurate representation of the original signal.
