On Maximum Entropy Signal Analysis.

Abstract

Maximum entropy signal analysis (MESA) provides a method of deriving the auto power spectrum from a discrete number of time series data; the method is reputed to be superior to Fast Fourier Transform (FFT) analysis when applied to short data records in that better resolution is obtained and sidebands are reduced. In order to investigate the efficacy of this method MESA has been implemented on computer controlled spectrum analysis systems and a number of simple spectra have been examined. It is concluded that MESA offers no advantages when large data records are available since the quality of the spectra is poor and long computation times are required. Furthermore the method produces highly variable absolute levels. However if only short data records are available then provided a suitable sampling frequency is chosen MESA does provide a reasonable means of producing the power spectrum. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADA144374

Entities

People

  • L. V. Embling

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Coefficients
  • Computations
  • Computer Programs
  • Computers
  • Dynamic Range
  • Frequency
  • Gaussian Processes
  • Information Theory
  • Machinery Noise
  • Power Spectra
  • Signal Processing
  • Sine Waves
  • Spectra
  • Spectrum Analysis
  • Square Waves
  • Waves
  • Weighting Functions

Readers

  • Electronics Engineering
  • Systems Analysis and Design
  • Wave Propagation and Nonlinear Chaotic Dynamics.