Sentence examples for stationary processes from inspiring English sources

The most important classes are stationary processes and Markov processes.

The Ornstein-Uhlenbeck process and many other Markov processes with stationary transition probabilities behave like stationary processes as t → ∞.

The link qualities and the arrival rates are stationary processes.

In addition, we study special families of stationary processes.

Based on this, we propose a general filtering problem of stationary processes with fixed transformation.

We will approximate model (1) by a family of stationary processes indexed by u ∈ [ 0, 1 ].

Real world speech and noise signals are non-stationary processes.

Here, we use them in a more general context affording to consider non-stationary processes.

This property is particularly important when one considers non-stationary processes.

Consequently, the non-stationary processes obtain the long-memory attribute [36].

Box-Jenkins models can be used to represent stationary or non-stationary processes.