Overview of identification methods of autoregressive model in presence of additive noise

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  • who: Dmitriy Ivanov and Zaineb Yakoub from the Department of Information Systems Security, Samara National Research University, Samara, Russia have published the research: Overview of Identification Methods of Autoregressive Model in Presence of Additive Noise, in the Journal: Mathematics 2023, 607 of /2023/
  • what: This paper presents an overview of the main methods used to identify autoregressive models with additive noises. The Article presents the simulation results of a large number of the described methods and gives recommendations on choosing the best methods. In this article, firstly, a classification of identification methods of the autoregressive . . .

     

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