A Bernoulli process is defined by independent random variables that take on values of either 1 (success) or 0 (failure) with a fixed probability p of success. The mean and variance of each random variable in the process is equal to np and np(1-p) respectively and does not depend on k. The autocorrelation and autocovariance functions are equal to 0 for all values of k and l where k ≠ l, and the process is stationary.