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pro vyhledávání: '"Ma, Peter Xiangyuan"'
The search for extraterrestrial intelligence (SETI) is a field that has long been within the domain of traditional signal processing techniques. However, with the advent of powerful generative AI models, such as GPT-3, we are now able to explore new
Externí odkaz:
http://arxiv.org/abs/2308.13125
Publikováno v:
RAS Techniques and Instruments 2023
Modern radio astronomy instruments generate vast amounts of data, and the increasingly challenging radio frequency interference (RFI) environment necessitates ever-more sophisticated RFI rejection algorithms. The "needle in a haystack" nature of sear
Externí odkaz:
http://arxiv.org/abs/2302.13854
Autor:
Ma, Peter Xiangyuan, Vajente, Gabriele
In this work we developed a deep learning technique that successfully solves a non-linear dynamic control problem. Instead of directly tackling the control problem, we combined methods in probabilistic neural networks and a Kalman-Filter-inspired mod
Externí odkaz:
http://arxiv.org/abs/2302.07921
Autor:
Ma, Peter Xiangyuan, Ng, Cherry, Rizk, Leandro, Croft, Steve, Siemion, Andrew P. V., Brzycki, Bryan, Czech, Daniel, Drew, Jamie, Gajjar, Vishal, Hoang, John, Isaacson, Howard, Lebofsky, Matt, MacMahon, David, de Pater, Imke, Price, Danny C., Sheikh, Sofia Z., Worden, S. Pete
The goal of the Search for Extraterrestrial Intelligence (SETI) is to quantify the prevalence of technological life beyond Earth via their "technosignatures". One theorized technosignature is narrowband Doppler drifting radio signals. The principal c
Externí odkaz:
http://arxiv.org/abs/2301.12670
Akademický článek
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Autor:
Ma, Peter Xiangyuan, Ng, Cherry, Rizk, Leandro, Croft, Steve, Siemion, Andrew P. V., Brzycki, Bryan, Czech, Daniel, Drew, Jamie, Gajjar, Vishal, Hoang, John, Isaacson, Howard, Lebofsky, Matt, MacMahon, David H. E., de Pater, Imke, Price, Danny C., Sheikh, Sofia Z., Worden, S. Pete
Publikováno v:
Nature Astronomy; Apr2023, Vol. 7 Issue 4, p492-502, 11p