THE DETECTION OF KNOWN SIGNALS IN COLORED GAUSSIAN NOISE.

Abstract

The most common method of studying the detection of known signals in colored (nonwhite) Gaussian noise is by means of the Karhunen-Loeve (K-L) expansion. The use of the K-L expansion provides some elegant results, but it also introduces certain complications. These arise because the K-L expansion is an infinite series and therefore there are questions of convergence, interchange of the orders of integration, etc. The resolution of these problems is difficult and leads to conditions for the existence of detectors whose physical meaning is unclear. We shall present a method of reducing the detection problems to a finite-dimensional form where no convergence problems arise. The resulting simplicity provides more direct derivations and more physical insights into many earlier results and has also suggested some new ones. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1965
Accession Number
AD0474127

Entities

People

  • Thomas Kailath

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Convergence
  • Detection
  • Detectors
  • Gaussian Noise
  • Infinite Series
  • Noise
  • Warning Systems

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Image Processing and Computer Vision.
  • Theoretical Analysis.