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Toplam kayıt 13, listelenen: 11-13
Regression of large-scale path loss parameters using deep neural networks
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)
Path loss exponent and shadowing factor are among important wireless channel parameters. These parameters can be estimated using field measurements or ray-tracing simulations, which are costly and time-consuming. In this ...
Spatial and angular resolution enhancement of light fields using convolutional neural networks
(IEEE-Inst Electrical Electronics Engineers Inc, 2018)
Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and ...
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
(Academic Press Inc., 2023)
Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life images make it difficult to solve this ...