all AI news
Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme. (arXiv:2201.05502v1 [eess.SP])
Jan. 17, 2022, 2:10 a.m. | Hang Yang, Zekun Niu, Haochen Zhao, Shilin Xiao, Weisheng Hu, Lilin Yi
cs.LG updates on arXiv.org arxiv.org
The modeling of optical wave propagation in optical fiber is a task of fast
and accurate solving the nonlinear Schr\"odinger equation (NLSE), and can
enable the research progress and system design of optical fiber communications,
which are the infrastructure of modern communication systems. Traditional
modeling of fiber channels using the split-step Fourier method (SSFM) has long
been regarded as challenging in long-haul wavelength division multiplexing
(WDM) optical fiber communication systems because it is extremely
time-consuming. Here we propose a linear-nonlinear …
More from arxiv.org / cs.LG updates on arXiv.org
Generalized Schr\"odinger Bridge Matching
1 day, 9 hours ago |
arxiv.org
Tight bounds on Pauli channel learning without entanglement
1 day, 9 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Lead Software Engineer - Artificial Intelligence, LLM
@ OpenText | Hyderabad, TG, IN
Lead Software Engineer- Python Data Engineer
@ JPMorgan Chase & Co. | GLASGOW, LANARKSHIRE, United Kingdom
Data Analyst (m/w/d)
@ Collaboration Betters The World | Berlin, Germany
Data Engineer, Quality Assurance
@ Informa Group Plc. | Boulder, CO, United States
Director, Data Science - Marketing
@ Dropbox | Remote - Canada