On High Frequency Spectral Analysis of Very Noisy Stochastic Processes and its Application to ERP Series Determined by VLBI and SLR

Abstract

Increased accuracy of measurement techniques in geodesy allows us to investigate weak short periodic variations in Earth Rotation Parameters (ERP). These variations in the ERP of a short periodic nature from 10 to 100 days are of the order of the measurement error or smaller. Therefore, application of an optimum method of spectral analysis is very important. In order to determine the best spectral analysis to find short period oscillations in real geophysical data, the following spectral analysis methods have been used to compute the frequencies in simulated data: (1) Fast Fourier Transformation (FFT); (2) Blackman-Tuckey spectral analysis; (3) Maximum Entropy Spectral Analysis (MESA); and (4) Band Pass Filter Spectral Analysis (BPFSA).

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Document Details

Document Type
Technical Report
Publication Date
Feb 15, 1991
Accession Number
ADA236987

Entities

People

  • Wieslaw Kosek

Organizations

  • United States Naval Observatory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Amplitude
  • Angular Momentum
  • Computations
  • Data Processing
  • Fast Fourier Transforms
  • Fourier Transformation
  • Frequency
  • Measurement
  • New York
  • Observatories
  • Periodic Variations
  • Spectra
  • Standards
  • Stochastic Processes
  • United States
  • White Noise

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Astronomy and Astrophysics.
  • Image Processing and Computer Vision.