Distributional loss for convolutional neural network regression and application to parameter estimation in satellite navigation signals-Reference-Cited by-同舟云学术

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Distributional loss for convolutional neural network regression and application to parameter estimation in satellite navigation signals

Published:2024-12 Issue: Volume:255 Page:124682
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Gonzàlez Thomas,Blais Antoine^ORCID,Couëllan Nicolas^ORCID,Ruiz Christian

Publisher

Elsevier BV

Reference53 articles.

1. A novel image representation of GNSS correlation for deep learning multipath detection;Blais;Array,2022

2. A synthetic GNSS correlator output generator;Blais,2021

3. Multipath estimation in multicorrelator GNSS receivers using the maximum likelihood principle;Blanco-Delgado;IEEE Transactions on Aerospace and Electronic Systems,2012

4. The coupling effect of Lipschitz regularization in neural networks;Couellan;SN Computer Science,2021

5. Probabilistic robustness estimates for feed-forward neural networks;Couellan;Neural Networks,2021

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