Estimation of burst-mode LDA power spectra
arXiv:1906.05335 · doi:10.1007/s00348-014-1674-z
Abstract
The estimation of power spectra from LDA data provides signal processing challenges for fluid dynamicists for several reasons: acquisition is dictated by randomly arriving particles, the registered particle velocities tend to be biased towards higher values and the signal is highly intermittent. The signal can be interpreted correctly by applying residence time weighting to all statistics and using the residence-time-weighted discrete Fourier transform to compute the Fourier transform. A new spectral algorithm using the latter is applied to two experiments; a cylinder wake and an axisymmetric turbulent jet. These are compared to corresponding hot-wire spectra as well as to alternative algorithms for LDA signals such as the time slot correlation method, sample-and-hold and common weighting schemes.
References in corpus (1)
Cited by in corpus (7)
- Measurement of turbulent spatial structure and kinetic energy spectrum by exact temporal-to-spatial mapping
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- Reduction of noise and bias in randomly sampled power spectra
- Similarity scaling of the axisymmetric turbulent jet
- On the noise in statistics of PIV measurements
- Dead time effects in laser Doppler anemometry measurements
- Dynamic Triad Interactions and Evolving Turbulence -- Part 2: Implications for Practical Signals