Statistical Uncertainty of Estimating Correlation between Signals in Noise.

Abstract

The memorandum considers the problem of estimating the correlation between two stationary random signals. The signals are known only for a finite interval of time and are corrupted by noise. Equations for the estimated correlation coefficient and the standard deviation of this coefficient are given. The application of the formulae requires that the signal has a large number of degrees of freedom within the time interval subject to analysis. Furthermore, the formulae for the standard deviation of the estimated correlation is valid only if this correlation is significantly different from zero. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 15, 1972
Accession Number
AD0757459

Entities

People

  • Eugen O. Landeide

Organizations

  • SACLANT ASW Research Centre

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Data Science
  • Equations
  • Information Science
  • Intervals
  • Mathematics
  • Standards
  • Stationary
  • Time Intervals
  • Uncertainty

Fields of Study

  • Engineering

Readers

  • Approximation Theory.