De-spiking Acoustic Doppler Velocimeter data.

Research output: Contribution to journalArticle

786 Citations (Scopus)

Abstract

A new method for detecting spikes in acoustic Doppler velocimeter data sequences is suggested. The method combines three concepts: (1) that differentiation enhances the high frequency portion of a signal, (2) that the expected maximum of a random series is given by the Universal threshold, and (3) that good data cluster in a dense cloud in phase space or Poincare maps. These concepts are used to construct an ellipsoid in three-dimensional phase space, then points lying outside the ellipsoid are designated as spikes. The new method is shown to have superior performance to various other methods and it has the added advantage that it requires no parameters. Several methods for replacing sequences of spurious data are presented. A polynomial fitted to good data on either side of the spike event, then interpolated across the event, is preferred by the authors.

Original languageEnglish
Pages (from-to)117-126
Number of pages9
JournalJournal of Hydraulic Engineering
Volume128
Issue number1
DOIs
Publication statusPublished - Jan 2002

Keywords

  • turbulence
  • velocity
  • measuring instruments
  • data processing
  • TURBULENCE
  • ADV

Cite this

De-spiking Acoustic Doppler Velocimeter data. / Goring, D.; Nikora, Vladimir Ivanovich.

In: Journal of Hydraulic Engineering, Vol. 128, No. 1, 01.2002, p. 117-126.

Research output: Contribution to journalArticle

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