3 citations · 7 across the 14 of their papers we have counts for
14 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…
Turning angle analysis reveals hidden anisotropies in the anomalous diffusion of molecules in live cells
Michał Balcerek, Adrian Pacheco-Pozo, Agnieszka Wyłomańska +1
Molecular motion within living cells provides a window into the physical principles underlying intracellular organization and transport. Yet a fundamental limitation remains: measu…
Testing and estimation of the index of stability of univariate and bivariate symmetric stable distributions via modified Greenwood statistic
Katarzyna Skowronek, Marek Arendarczyk, Anna K. Panorska +2
We propose a testing and estimation methodology for univariate and bivariate symmatric -stable distributions using a modified version of the Greenwood statistic. Originally desi…
Fractional lower-order covariance-based measures for cyclostationary time series with heavy-tailed distributions: application to dependence testing and model order identification
Wojciech Żuławiński, Agnieszka Wyłomańska
This article introduces new methods for the analysis of cyclostationary time series with infinite variance. Traditional cyclostationary analysis, based on periodically correlated (…