Introduction

Signal modeling provides descriptions of signals that can be used for the evaluation of the performance of information processing systems. Signal modeling can be done using statistical or deterministic description methods. A deterministic model describes the signal as a time function, while random signal modeling uses statistical description methods such as amplitude distribution functions, average values, etc. It should be noted that signals are neither deterministic nor stochastic. It is up to the designer to decide whether to use deterministic or stochastic description methods.

Deterministic signal modeling will be discussed in section Deterministic signal modeling and random signal modeling will be discussed in section Random signal modeling.