This paper presents a comparison of currently available methods for non-parametric and
bias-free estimation of the autocorrelation function and power spectral density from …

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 task of autocorrelation and power spectral density estimation from velocity data sampled
irregularly in time by a laser-Doppler anemometer (LDA) is addressed in this article. A new …

The aim of this thesis is the characterization and modeling of the longitudinal structures
actuated by vortex generators. Results from generic studies performed at low Reynolds …

An algorithm for estimating the power spectral density and the correlation function of laser
Doppler-generated data sets is introduced. The algorithm is of the type of direct spectral …

A procedure to estimate and remove the contribution of data noise to the correlation function
and the power spectral density calculated from laser Doppler data with the interpolation …

Several algorithms for the spectral analysis of irregularly sampled random processes can
estimate the spectral density for a low frequency range. A new time-series method extended …

We report on the experimental and numerical investigation of swirl induced self-excited
instabilities in the form of precessing helical structures at the vicinity of an Airblast Atomiser …

Turbulence intensity levels are assigned different values according to set a probability
distribution. Many researchers do not consider probability distributions when determining …

This paper presents a method for estimating the autocorrelation function and the power
spectral density from laser Doppler data with discretized arrival times. The method can be …