Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Young-Joon Song"'
Autor:
Hyun Woo Cho, Young Joon Song
Publikováno v:
ICT Express, Vol 10, Iss 2, Pp 393-399 (2024)
In this study, we explore the potential of leveraging machine learning techniques, specifically auto-encoders (AE), for the decoding of linear block codes. Our findings suggest that this approach can outperform the conventional ordered statistics dec
Externí odkaz:
https://doaj.org/article/74518949c5ec48649878f463d0f974e1
Autor:
Hyun Woo Cho, Young Joon Song
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9225 (2022)
In this paper, we show that applying a machine learning technique called auto-decoder (AD) to high-rate and short length Reed–Muller (RM) decoding enables it to achieve maximum likelihood decoding (MLD) performance and faster decoding speed than wh
Externí odkaz:
https://doaj.org/article/a7772e7210534b8593cee37f7ce41aa0
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 48:319-326
Publikováno v:
The Journal of Korean Institute of Information Technology. 20:1-8
Autor:
Yun-Bo Park, Young-Joon Song
Publikováno v:
The Journal of Korean Institute of Information Technology. 20:47-54
Autor:
Guk-Han Jo, Young-Joon Song
Publikováno v:
The Journal of Korean Institute of Information Technology. 20:31-38
Publikováno v:
Physical Review B. 107
Autor:
Nico Kaiser, Young-Joon Song, Tobias Vogel, Eszter Piros, Taewook Kim, Philipp Schreyer, Stefan Petzold, Roser Valentí, Lambert Alff
Publikováno v:
ACS Applied Electronic Materials
Publikováno v:
The Journal of Korean Institute of Information Technology. 19:39-47
Publikováno v:
The Journal of Korean Institute of Information Technology. 18:1-7