Spectrum Estimation Using Extrapolated Time Series

Abstract

Several techniques for estimation of the power spectral density (PSD) , or simply the spectrum, of discretely sampled short data sequences are investigated in this thesis. These techniques are directly based on the fast Fourier transform (FFT) of the data sequence. However, an extrapolated version of the original data sequence will be used instead of the original. The aim is to enhance the resolution of the true spectral components of the signal without adding any false frequency components. Several data extrapolation models are analyzed and their performance at different signal to noise ratios (SNR's) and model orders are examined.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA246554

Entities

People

  • Robert T. Thornlow

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Classification
  • Computational Science
  • Computer Simulations
  • Computers
  • Covariance
  • Data Science
  • Databases
  • Extrapolation
  • Filtration
  • Frequency
  • Information Science
  • Security
  • Sequences
  • Simulations
  • Sine Waves
  • Spectra
  • United States

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation