Bispectra and Phase Correlations for Chaotic Dynamical Systems

Abstract

The bispectrum is the natural third-order generalization of the power spectrum. It provides information about correlations between different Fourier components of a signal or image, and about the statistics of Fourier phase. A number of numerical and experimental studies of the bispectra of chaotic systems have been published. In this paper we present the first analytical calculations of the bispectra of chaotic dynamical systems. First, for a generalization of the classical sawtooth or Renyi map, we calculate the bispectrum using symbolic dynamics. Also, for intermittent systems, we calculate the bispectrum using the relationship between these systems and renewal processes. We review the results of these calculations, drawing some conclusions about the characteristic features of the bispectra of chaotic systems, and compare them with the features of some financial time series.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADP010900

Entities

People

  • Allan K. Evans
  • Mark D. London
  • Stuart J. Nimmo

Organizations

  • De Montfort University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Autocorrelation
  • Data Science
  • Equations
  • Fourier Analysis
  • Frequency
  • Information Science
  • Integrals
  • Linear Systems
  • Noise
  • Power Spectra
  • Probability
  • Random Variables
  • Spectra
  • Stationary Processes
  • Statistics
  • Stochastic Processes
  • White Noise

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Control Systems Engineering.
  • Statistical inference.