Skip to content Skip to navigation

Connexions

You are here: Home » Content » Stationarity

Navigation

Lenses

What is a lens?

Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

This content is ...

In these lenses

  • eScience, eResearch and Computational Problem Solving

    This module is included inLens: eScience, eResearch and Computational Problem Solving
    By: Jan E. OdegardAs a part of collection: "Random Processes"

    Click the "eScience, eResearch and Computational Problem Solving" link to see all content selected in this lens.

Recently Viewed

This feature requires Javascript to be enabled.
 

Stationarity

Module by: Nick Kingsbury. E-mail the author

Summary: This module introduces stationarity, such as strict sense stationarity (SSS) and wide sense stationarity (WSS).

Stationarity in a Random Process implies that its statistical characteristics do not change with time. Put another way, if one were to observe a stationary random process at some time tt it would be impossible to distinguish the statistical characteristics at that time from those at some other time t t .

Strict Sense Stationarity (SSS)

Choose a Random Vector of length NN from a Random Process:

X=( X t1 X t2 X tN )T X X t1 X t2 X tN
(1)
Its NNth order cdf is
F X ( t1 ) ,     X ( tN ) x1 xN =PrX t1 x1 X tN xN F X ( t1 ) ,     X ( tN ) x1 xN X t1 x1 X tN xN
(2)
Xt X t is defined to be Strict Sense Stationary iff:
F X ( t1 ) ,     X ( tN ) x1 xN = F X ( t1 + c ) ,     X ( tN + c ) x1 xN F X ( t1 ) ,     X ( tN ) x1 xN F X ( t1 + c ) ,     X ( tN + c ) x1 xN
(3)
for all time shifts cc, all finite NN and all sets of time points t1 tN t1 tN .

Wide Sense (Weak) Stationarity (WSS)

If we are only interested in the properties of moments up to 2nd order (mean, autocorrelation, covariance, ...), which is the case for many practical applications, a weaker form of stationarity can be useful:

Xt X t is defined to be Wide Sense Stationary (or Weakly Stationary) iff:

  1. The mean value is independent of tt, for all tt
    EXt=μ X t μ
    (4)
  2. Autocorrelation depends only upon τ= t2 t1 τ t2 t1 , for all t1 t1
    EX t1 X t2 =EX t1 X t1 +τ= r X X τ X t1 X t2 X t1 X t1 τ r X X τ
    (5)
Note that, since 2nd-order moments are defined in terms of 2nd-order probability distributions, strict sense stationary processes are always wide-sense stationary, but not necessarily vice versa.

Content actions

Download module as:

PDF | EPUB (?)

What is an EPUB file?

EPUB is an electronic book format that can be read on a variety of mobile devices.

Downloading to a reading device

For detailed instructions on how to download this content's EPUB to your specific device, click the "(?)" link.

| More downloads ...

Add module to:

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need an account to use 'My Favorites'.

| A lens I own (?)

Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks