Spectral analysis methods for Poisson sampled measurements

Author

Banning, Reinder

Author_Institution

Dept. of Appl. Phys., Delft Univ. of Technol., Netherlands

Volume

46

Issue

4

fYear

1997

fDate

8/1/1997 12:00:00 AM

Firstpage

882

Lastpage

887

Abstract

The velocity measurements for turbulent flow regimes obtained with laser Doppler anemometry are not only affected by random noise but are also unevenly spaced in time. The usual spectral estimators rely on evenly spaced data points. It would appear then that the measurement data requires adjustment before it can be passed on to these estimators. In this paper, both an analysis method with a novel adjustment scheme as well as an analysis method which does not rely on the use of adjustment schemes, are presented

Keywords

Kalman filters; anemometers; anemometry; discrete Fourier transforms; flow measurement; laser velocimetry; sampled data systems; spectral analysis; Kalman filtering; Poisson sampled measurements; discrete Fourier transforms; laser Doppler anemometry; measurement data; random noise; sampled data systems; spectral analysis; spectral estimators; stochastic systems; turbulent flow; velocity measurement; Density functional theory; Diffusion processes; Linear discriminant analysis; Measurement techniques; Noise measurement; Spectral analysis; Stochastic processes; Stochastic resonance; Velocity measurement; White noise;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.650793

Filename

650793