1. Stationary random functions
1.1 Definitions of random functions and stationarity
Let's consider a discrete or continuous random variable, denoted x; we'll say this variable is a "random function" if it depends on a continuously changing parameter t, bounded or not. We usually refer to the random function as x (t).
In most applications, t represents the time variable.
To facilitate graphical representation or to practice numerical processing of random functions, the variable...
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!
Stationary random functions
Ergodic principle
Article included in this offer
"Instrumentation and measurement methods"
(
52 articles
)
Updated and enriched with articles validated by our scientific committees
A set of exclusive tools to complement the resources
Bibliography
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!
