Velocity despiking: Difference between revisions

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== Overview ==
== Overview ==
Any measured signal may be contaminated by spikes. These spikes are typically short-lived and transient, which result in  sudden change in the measured signal.
Any measured signal may be contaminated by spikes. These spikes are typically short-lived and transient, which result in  sudden change in the measured signal (Figure [[:Media:Velocities spike.png]]).


Spikes in velocities measured by  [[Acoustic-Doppler Velocimeters| acoustic-Doppler velocimeters]] can result from  aliasing of the Doppler signal, in particular when pulses become contaminated by reflecting from complex objects and boundaries <ref name="GoringNikora">{{Cite journal|authors= D. G. Goring and V.I. Nikora|journal_or_publisher= Journal of Hydraulic Engineering|paper_or_booktitle=  Despiking Acoustic Doppler Velocimeter Data
Spikes in velocities measured by  [[Acoustic-Doppler Velocimeters| acoustic-Doppler velocimeters]] can result from  aliasing of the Doppler signal, in particular when pulses become contaminated by reflecting from complex objects and boundaries <ref name="GoringNikora">{{Cite journal|authors= D. G. Goring and V.I. Nikora|journal_or_publisher= Journal of Hydraulic Engineering|paper_or_booktitle=  Despiking Acoustic Doppler Velocimeter Data

Revision as of 19:23, 24 November 2021


Overview

Any measured signal may be contaminated by spikes. These spikes are typically short-lived and transient, which result in sudden change in the measured signal (Figure Media:Velocities spike.png).

Spikes in velocities measured by acoustic-Doppler velocimeters can result from aliasing of the Doppler signal, in particular when pulses become contaminated by reflecting from complex objects and boundaries [1]. These spikes must be removed because they can alter quite dramatically the velocity spectra, which is then used for fitting inertial subrange model.

  • Example velocities measured by an acoustic-Doppler velocimeters
  • Example velocity spectra before and after removing spikes. The variance of the despiked signal has reduced by 12% even though there were 30 spikes

Despiking methods

Several techniques exist for despiking. The most used with acoustic-Doppler velocimeters are the phase-space thresholding techniques [1]. Other techniques currently being investigated by the subgroup are those used in atmospheric turbulence studies [2], in particular the median filter despiking technique [3], which derives its threshold for identifying spurious spikes from the data itself.

Filter based methods

Phase-space thresholding methods

Elaborate a bit? Or include information in a separate page

Notes

  1. 1.0 1.1 D. G. Goring and V.I. Nikora. 2002. Despiking Acoustic Doppler Velocimeter Data. Journal of Hydraulic Engineering. doi:10.1061/􏰠ASCE􏰐0733-9429􏰠2002􏰐128:1􏰠117􏰐
  2. D. Starkenburg, S. Metzger, G.J. Fochesatto, J.G Alfieri, R. Gens and A. Prakash and J. Cristobal. 2016. Assessment of Despiking Methods for Turbulence Data in Micrometeorology. J. Atmos. Oceanic Technoly. doi:10.1175/JTECH-D-15-0154.1􏰐
  3. F.V. Brock. 1986. A nonlinear filter to remove impulse noise from meteorological data. J. Atmos. Oceanic Technoly. doi:10.1175/1520-0426(1986)003,0051:ANFTRI.2.0.CO;2􏰐

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