Generation of dynamic chaotic signals using generative adversarial networks

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/26064

Title:	Generation of dynamic chaotic signals using generative adversarial networks
Authors:	Kozlenko, Mykola Козленко, Микола Іванович
Keywords:	Deep Learning Digital Communications Dynamic Chaos GAN
Issue Date:	10-Dec-2024
Publisher:	Zaporizhzhia Polytechnic National University
Citation:	M. Kozlenko, "Generation of dynamic chaotic signals using generative adversarial networks," XII International Scientific and Practical Conference Modern Problems and Achievements in the Field of Radio Engineering Telecommunications and Information Technologies, Zaporizhzhia, Ukraine, Dec. 10-12, 2024, pp. 58-60, doi: 10.5281/zenodo.14583025
Abstract:	This paper presents the generation of dynamic chaotic-like signals using Generative Adversarial Networks.
URI:	https://zenodo.org/doi/10.5281/zenodo.14583026 http://hdl.handle.net/123456789/26064
ISBN:	978-617-529-487-1
Appears in Collections:	Статті та тези (ФМІ)

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