Despiking Acoustic Doppler Velocimeter (ADV) Data

version (4.47 KB) by Rashedul Islam
This code removes spikes from the Acoustic Doppler Velocimeter (ADV) measurements.


Updated 17 Jun 2013

View License

The ADV measurements are often contaminated by spikes. This code applies bivariate kernel density function to separate the data from the spike clusters. It is observed that the code can retrieve data despite 70% measurements are contaminated by spikes. The bivariate kernel density function is
generated using Botev et al. (2010)'s FFT based code. The measurements identified as spikes are removed and replaced by the linearly interpolated values. The detail algorithm is available in the following references:

1) Islam, M.R. and Zhu, D.Z. (2013), A Kernel Density Based Algorithm to Despike ADV Data, Journal of Hydraulic Engineering, ASCE, 139(7),785-793.

2) Botev, Z.I., Grotowski, J.F., and Kroese, D.P.(2010),Kernel Density Estimation Via Diffusion, Annals of Statistics, 38(5),2916-2957.

Cite As

Rashedul Islam (2022). Despiking Acoustic Doppler Velocimeter (ADV) Data (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2007a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Inspired by: improved xlswrite.m

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!