NearestAdvocate
Nearest Advocate
This package focuses on the time delay estimation between two event-based time-series that are relatively shifted by an unknown time offset. An event-based time-series is given by a set of timestamps of certain events. If you want to guarantee synchronous measurements in advance or estimate the time delay of continuous measurements sampled at a constant rate, you might want to use other methods. However, in some use cases, performing an event detection and then estimating the relative time delay has advantages. **The Nearest Advocate method provides a precise time delay estimation in event-based time-series that is robust against imprecise timestamps, a high fraction of missing events, and clock drift.** Time delay estimation also known as the correction of time offsets and time lags as well as time synchronization.
Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization
https://paperswithcode.com/paper/nearest-advocate-a-novel-event-based-time
Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization