Random signal theory

1. Random signals are those which are not precisely predictable; that is, given the past history of a signal and the amplitude values it has taken on, it is not possible to precisely predict what particular value it will take on at certain instants in the future.

1. What is random signal and random process?
2. What is the significance of random signals in probability theory?
3. What is random signal with example?

What is random signal and random process?

A random process is a collection of time functions or signals corresponding to various outcomes of a random experiment. The random process represents the mathematical model of these random signals. A random process (or stochastic process) is a collection of random variables (functions) indexed by time.

What is the significance of random signals in probability theory?

These signals are called random signals because the precise value of these signals cannot be predicted in advance before they actually occur. The examples of random signals are the noise interferences in communication systems. This means that the noise interference during transmission is totally unpredictable.

What is random signal with example?

The term random signal is used primarily to denote signals, which have a random in its nature source. As an example we can mention the thermal noise, which is created by the random movement of electrons in an electric conductor.