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

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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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