The Development of New Digital Data Processing Techniques for Turbulence Measurements with a Laser Velocimeter

Abstract

Research has developed a laser velocimeter data processing technique that may be used for on-line estimation of turbulence power spectra from randomly timed samples at low data rates. First, an estimate of the turbulence autocovariance is made at each lag by discretizing the time axis into lag units, accumulating the products of pairs of sample magnitudes occurring at each lag, and dividing the accumulated sums by the histogram of lag products. Then, the discrete Fourier transform of the turbulence autocovariance is computed, giving an estimate of the turbulence power spectra.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1974
Accession Number
AD0784891

Entities

People

  • M. T. Shay
  • S. Riter
  • W. T. Mayo Jr.

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Clocks
  • Computer Programs
  • Computers
  • Data Mining
  • Data Processing
  • Data Science
  • Digital Data
  • Engineering
  • Information Processing
  • Information Science
  • Laser Velocimeters
  • Measurement
  • Random Variables
  • Statistical Algorithms
  • Time Intervals
  • Wave Analyzers

Readers

  • Fluid Dynamics.
  • Mathematics or Statistics
  • Pulsed Power and Plasma Physics.

Technology Areas

  • Directed Energy