B. Signal averaging
Signal averaging exploits the fact that if one makes a measurement many times the signal part will tend to accumulate but the noise will be irregular and tend to cancel itself. More formally, the standard deviation of the mean of N measurements is smaller by a factor of N than the standard deviation of a single measurement. This implies that, if we compute the average of many samples of a noisy signal, we will reduce the fluctuations and leave the desired signal visible. There are, of course, a number of complications and limitations in practice.