NONLINEAR TRANSFORMATIONS OF RANDOM PROCESSES.

This paper provides a general method of calculating the mean square bandwidth of an arbitrary zero-memory nonlinear transformation of a stationary random process. The method is valid when the original process is non-Gaussian as well as Gaussian and when the original process is an arbitrary combination of other random processes. It can be used to determine the mean square bandwidth of the transformed process either before or after that process is passed through a bandpass filter. Five examples of the application of this method are provided simplifying and generalizing known results, as well as providing new results. Author