Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Kieran Parsons"'
Autor:
Remy Zawislak, Marcus Greiff, Kyeong Jin Kim, Karl Berntorp, Stefano Di Cairano, Mao Konishi, Kieran Parsons, Philip V. Orlik, Yuki Sato
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd09d1dc5000b4fbe7e11a0eac59ff7a
https://doi.org/10.33012/2022.18333
https://doi.org/10.33012/2022.18333
Autor:
Shuai Wang, Jianlin Guo, Pu Wang, Kieran Parsons, Philip Orlik, Yukimasa Nagai, Takenori Sumi, Parth Pathak
Publikováno v:
2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d2b9ccf4fa3be92ff1ad13196d75d9e
https://doi.org/10.1109/secon55815.2022.9918568
https://doi.org/10.1109/secon55815.2022.9918568
Publikováno v:
Optics letters. 47(14)
We improve an inverse regular perturbation (RP) model using a machine learning (ML) technique. The proposed learned RP (LRP) model jointly optimizes step-size, gain and phase rotation for individual RP branches. We demonstrate that the proposed LRP c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0bd342d8c01669f68522ac6c39c22c4
https://pubmed.ncbi.nlm.nih.gov/35838706
https://pubmed.ncbi.nlm.nih.gov/35838706
Autor:
Keisuke Kojima, Mohammad H. Tahersima, Kieran Parsons, Toshiaki Koike-Akino, Ye Wang, Yingheng Tang, Devesh K. Jha
Publikováno v:
Journal of Lightwave Technology. 39:1010-1019
Deep learning is now playing a major role in designing photonic devices, including nanostructured photonics. In this article, we investigate three models for designing nanophonic power splitters with multiple splitting ratios. The first model is a fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3891eba6f12abd868a1623dd204838d
https://doi.org/10.1109/jlt.2021.3050083
https://doi.org/10.1109/jlt.2021.3050083
Publikováno v:
2022 IEEE International Conference on Communications Workshops (ICC Workshops).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df051f9cc9078e5304b4aaad9281b20
https://doi.org/10.1109/iccworkshops53468.2022.9814518
https://doi.org/10.1109/iccworkshops53468.2022.9814518
Publikováno v:
Optics express. 30(7)
This paper proposes an optical gateway that converts pulse amplitude modulation (PAM) format to phase shift keying (PSK) modulation format, enabling flexible intensity-to-phase mapping without relying on optical-electrical-optical data conversion at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39f55f1eaca0c5ec2e59aa64cdad491c
https://pubmed.ncbi.nlm.nih.gov/35473043
https://pubmed.ncbi.nlm.nih.gov/35473043
Autor:
Kieran Parsons, Pavel Skvortcov, Keisuke Kojima, Wladek Forysiak, David S. Millar, Ian Phillips, Toshiaki Koike-Akino
Publikováno v:
IEEE Photonics Technology Letters. 32:967-970
We propose Huffman-coded sphere shaping (HCSS) as a method for probabilistic constellation shaping which provides improved tolerance to fiber nonlinearities in single-span links. An implementation of this algorithm based on look-up-tables (LUTs) allo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::506e21978c8170bac5fa79efaee27753
https://doi.org/10.1109/lpt.2020.3006737
https://doi.org/10.1109/lpt.2020.3006737
Publikováno v:
IEEE Transactions on Communications. 68:1981-1990
A distribution matcher (DM) maps a binary input sequence into a block of nonuniformly distributed symbols. To facilitate the implementation of shaped signaling, fast DM solutions with high throughput and low serialism are required. We propose a novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9e20725814858b25b5a203c95d479b5
https://doi.org/10.1109/tcomm.2020.2966693
https://doi.org/10.1109/tcomm.2020.2966693
Autor:
Xi Yu, Niklas Smedemark-Margulies, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Matthew Brand, Kieran Parsons, Ye Wang
Publikováno v:
Pattern Recognition. 134:109054
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2917ba663bed572d7dce4e481ada33bf
https://doi.org/10.1016/j.patcog.2022.109054
https://doi.org/10.1016/j.patcog.2022.109054