The problem of modeling random noise by a sequence of random pulses that result from the random occurrence of similar events of randomly varying duration and strength is considered. It is illustrated how the statistical properties of the distribution of noise‐producing events may be inferred from a knowledge of the power spectrum of the noise and the characteristic shape of the pulses.