4 papers
Real-time and adaptive anomaly detection algorithm for cyclostationary models
Justyna Witulska, Tomasz Barszcz, Ireneusz Jabłoński +1
This article introduces PeriodicCALM, an effective real-time anomaly detection framework designed for cyclostationary data streams. While classical cyclostationary processes featur…
A systematic framework for the identification and statistical quantification of impulsivity in condition monitoring signals
Aleksandra Grzesiek, Justyna Witulska, Daniel Kuzio +3
This article proposes a comprehensive framework for the identification and statistical quantification of impulsive behavior in signals, with a primary focus on condition monitoring…
Real-time anomaly detection in base station testbeds via scalable kernel density estimation framework
Justyna Witulska, Marcin Szczukiewicz, Artur Tabaka +4
Large-scale testing infrastructures are critical for validating telecommunication systems, yet their growing complexity makes efficient resource utilization and anomaly detection i…
Robust variance estimators in application to segmentation of measurement data distorted by impulsive and non-Gaussian noise
Justyna Witulska, Anna Zaleska, Natalia Kremzer-Osiadacz +2
The paper algorithmizes the problem of regime change point identification for data measured in a system exhibiting impulsive behaviors. This is a fundamental challenge for annotati…