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Modeled non-smoothed data of the FGN heavy-tail process

Year: 2024

Type: article

Abstract: Modeled non-smoothed data of the FGN heavy-tail process used in papers1. Gorev V. N. On the Use of the Kolmogorov–Wiener Filter for Heavy-tail Process Prediction / V.N. Gorev, A.Yu. Gusev, V.I. Korniienko, Y.I. Shedlovska// Journal of Cyber Security and Mobility, 12(3): 315-338 (2023). https://doi.org/10.13052/jcsm2245-1439.123.42. Gorev V. The use of the Kolmogorov–Wiener filter for prediction of heavy-tail stationary processes/ V. Gorev, A. Gusev, V. Korniienko // Ceur Workshop Proceedings. – Vol. 3156. – P. 150–159, 2022. http://ceur-ws.org/Vol-3156/paper9.pdf

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13763542

Authors: Gorev, Vyacheslav, Gusev, Oleksander, Korniienko, Valerii, Shedlovska, Yana

Institution: Dnipro University of Technology

Language: English

Topic: Target Tracking and Data Fusion in Sensor Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6967900333

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