GENERALIZED COVARIANCES AND POWER SPECTRA FOR DISCRETE TIME SERIES.

Abstract

The object of the work presented here is to develop refined tools for characterizing discrete time series of finite duration. A fundamental assumption (certainly not unfamiliar) of periodicity is made so that the underlying time domain becomes a group in the mathematical sense. Group properties of this time domain, the additive group of integers modulo N, are used to motivate and unify the theory. For any complex valued function defined on the group, the usual autocovariance function of a single time variable is set up and then generalized to a family of functions of several time variables. The coefficients in the expansions of these functions in terms of the group characters are called the generalized power spectra. The latter can be simply expressed in terms of 'fourier moments' which are finite fourier transforms of powers of the given function of time. Also considered are the generalizations of these concepts to the case of several simultaneous time series.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1967
Accession Number
AD0659183

Entities

People

  • R. P. Eddy

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Coefficients
  • Covariance
  • Data Science
  • Diffraction
  • Functions (Mathematics)
  • Information Science
  • Mathematics
  • Periodic Variations
  • Personality
  • Power Spectra
  • Spectra
  • Time Domain
  • Wave Phenomena

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Mathematical Modeling and Probability Theory.