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pro vyhledávání: '"Okumuş, Kaan"'
Autor:
Ngo, Khac-Hoang, Krishnan, Deekshith Pathayappilly, Okumus, Kaan, Durisi, Giuseppe, Ström, Erik G.
We generalize the type-based multiple access framework proposed by Mergen and Tong (2006) to the case of unsourced multiple access. In the proposed framework, each device tracks the state of a physical/digital process, quantizes this state, and commu
Externí odkaz:
http://arxiv.org/abs/2404.19552
Digital sensors can lead to noisy results under many circumstances. To be able to remove the undesired noise from images, proper noise modeling and an accurate noise parameter estimation is crucial. In this project, we use a Poisson-Gaussian noise mo
Externí odkaz:
http://arxiv.org/abs/2210.12142
Image noise can often be accurately fitted to a Poisson-Gaussian distribution. However, estimating the distribution parameters from a noisy image only is a challenging task. Here, we study the case when paired noisy and noise-free samples are accessi
Externí odkaz:
http://arxiv.org/abs/2210.04866
Akademický článek
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