Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Myungkyu Lee"'
Autor:
Jin-Guk Kim, Kijun Lee, Junyong Noh, Seungseob Lee, Jung-Bae Lee, Seung-Duk Baek, Jungyu Lee, Sin-Ho Kim, Soo-Young Kim, Hye-In Choi, Ki-Chul Chun, Beomyong Kil, Sanguhn Cha, So-Young Kim, Jae-Won Park, Ryu Ye-Sin, Jun Jin Kong, Dong-Hak Shin, Byung-Kyu Ho, Hyuk-Jun Kwon, Baekmin Lim, Park Yong-Sik, Seouk-Kyu Choi, Chi-Sung Oh, Kyomin Sohn, Myungkyu Lee, Kwang-Il Park, Young-Yong Byun, Jae-Wook Lee, Bo-Tak Lim, Seong-Jin Cho, Jong-Pil Son, Yong-ki Kim, Nam Sung Kim, S.J. Ahn
Publikováno v:
ISSCC
Rapidly evolving artificial intelligence (Al) technology, such as deep learning, has been successfully deployed in various applications: such as image recognition, health care, and autonomous driving. Such rapid evolution and successful deployment of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5b0e5664cdb1f3d0e43a12624294aa7
https://doi.org/10.1109/isscc19947.2020.9063110
https://doi.org/10.1109/isscc19947.2020.9063110
Autor:
Sungrae Kim, Myungkyu Lee, Yu Geunyeong, Kijun Lee, Beomkyu Shin, Pilsang Yoon, Gyuyeol Kong, Junjin Kong, Dong-Min Shin, Hong-rak Son
Publikováno v:
APCCAS
This paper introduces a novel post-processing algorithm for low-density parity-check (LDPC) codes adequate for NAND flash memory, to improve error correction capability of a soft decision decoding by reducing strong error effects in an efficient way.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d4f343e4400027b9fa8e380e40d934
https://doi.org/10.1109/apccas.2016.7804004
https://doi.org/10.1109/apccas.2016.7804004