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Machine Learning Based System Identification with Binary Output Data Using Kernel Methods,Journal of Telecommunications and Information Technology, 2024, nr 1
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Title: Machine Learning Based System Identification with Binary Output Data Using Kernel Methods,Journal of Telecommunications and Information Technology, 2024, nr 1

Autor:

Fateh, Rachid ; Oualla, Hicham ; Azougaghe, Es-said ; Darif, Anouar ; Boumezzough, Ahmed ; Safi, Said ; Pouliquen, Mathieu ; Frikel, Miloud

Data wydania:

2024

Typ zasobu:

artykuł

Tytuł publikacji grupowej:

2024, nr 1, JTIT-artykuły

Abstrakt:

Within the realm of machine learning, kernel meth-ods stand out as a prominent class of algorithms with widespreadapplications, including but not limited to classification, regres-sion, and identification tasks. Our paper addresses the chal-lenging problem of identifying the finite impulse response (FIR)of single-input single-output nonlinear systems under the in-fluence of perturbations and binary-valued measurements. Toovercome this challenge, we exploit two algorithms that leveragethe framework of reproducing kernel Hilbert spaces (RKHS) toaccurately identify the impulse response of the Proakis C chan-nel. Additionally, we introduce the application of these kernelmethods for estimating binary output data of nonlinear systems.We showcase the effectiveness of kernel adaptive filters in identi-fying nonlinear systems with binary output measurements, asdemonstrated through the experimental results presented in thisstudy.

Wydawca:

National Institute of Telecommunications

Identyfikator zasobu:

oai:bc.itl.waw.pl:2319 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2024.1.143

ISSN:

1509-4553

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Licencja:

CC BY 4.0

Właściciel praw:

Instytut Łączności - Państwowy Instytut Badawczy

Subject and keywords:

finite impulse response kernel adaptive filtering nonlinear systems identification Proakis C channe

Object collections:

Last modified:

Feb 25, 2026

In our library since:

Mar 27, 2024

Number of object content hits:

74

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2635

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Edition name Date
Fateh, Rachid, Machine Learning Based System Identification with Binary Output Data Using Kernel Methods,Journal of Telecommunications and Information Technology, 2024, nr 1 Feb 25, 2026

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

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