Skip to content Skip to navigation

OpenStax CNX

You are here: Home » Content » Non-Gaussian Observations


Recently Viewed

This feature requires Javascript to be enabled.

Non-Gaussian Observations

Module by: Don Johnson. E-mail the author

The term non-Gaussian has a connotation similar to that of "non-linear;" rather than meaning those problems which are not simple (the simple ones being the Gaussian or linear ones), these terms refer instead to the general problem - all possible stationary random sequences or all systems. In general, "non-Gaussian detection theory" makes no assumption as to the specific form of the noise amplitude distribution (Kassam). This generality mimics situations where the additive noise is variable, having an unpredictable structure which makes a priori models of the noise difficult to justify. This section describes detection algorithms that make few assumptions about the joint probability density function of the noise amplitudes at several samples. For simplicity, the noise sequence is assumed in sequel to be white.


  1. S.A. Kassam. (1988). Signal Detection in Non-Gaussian Noise. New York: Springer-Verlag.

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


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