Resampling Multi-Resolution Signals Using the Bag of Functions Framework: Addressing Variable Sampling Rates in Time Series Data

Resampling Multi-Resolution Signals Using the Bag of Functions Framework: Addressing Variable Sampling Rates in Time Series Data

In time series analysis, the ability to effectively handle data with varying sampling rates is crucial for accurate modeling and analysis. This paper presents the MR-BoF (Multi-Resolution Bag of Functions) framework, which leverages sampling-rate-independent techniques to decompose time series data...

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Bibliographic Details
Main Authors: David Orlando Salazar Torres, Diyar Altinses, Andreas Schwung
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Sensors
Subjects:
Bag of Functions framework
multi-resolution signals
resampling
time-invariant methods
time series decomposition
variable sampling rates
Online Access:https://www.mdpi.com/1424-8220/25/15/4759
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