Despiking Acoustic Doppler Velocimeter Data
National Institute of Water and Atmospheric Research
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 Poincaré 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…
Citation impact
- FWCI
- 7.84
- Percentile
- 100%
- References
- 18
Authors
2Topics & keywords
- Ellipsoid
- Doppler effect
- SIGNAL (programming language)
- Spurious relationship
- Acoustics
- Polynomial
- Phase (matter)
- Signal processing