Univariate Kernel Density Estimation Despiking

This repository contains code implementing the univariate kernel density despising algorithm of Kraus, S., and Strom, K. (2024). Simplified Kernel Density-Based Algorithm for Despiking ADV Data, accepted for publication in the Journal of Hydraulic Engineering.

The repository contains,

1. Sample ADV data collected with a side-looking Nortek Vectrino (in the Data folder)
2. An implementation of the despiking method in UKDE_despike_v02.py
3. And a Jupyter notebook (ADV_data_exploretimeseries.ipynb) with an example of how to use the despiking functions.

Here is a video tutorial explaining the files in this repository and walking through a simple use case.

Please contact Sam Kraus samakraus@vt.edu or Kyle Strom strom@vt.edu with questions.