Machine Learning Based System Identification with Binary Output Data Using Kernel Methods

Within the realm of machine learning, kernel methods stand out as a prominent class of algorithms with widespread applications, including but not limited to classification, regression, and identification tasks. Our paper addresses the challenging problem of identifying the finite impulse response (...

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Hlavní autoři:	Rachid Fateh, Hicham Oualla, Es-said Azougaghe, Anouar Darif, Ahmed Boumezzough, Said Safi, Mathieu Pouliquen, Miloud Frikel
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	National Institute of Telecommunications 2024-03-01
Edice:	Journal of Telecommunications and Information Technology
Témata:	finite impulse response kernel adaptive filtering nonlinear systems identification Proakis C channel
On-line přístup:	https://jtit.pl/jtit/article/view/1430
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