Evaluating Deep Neural Networks to Classify Modulated and Coded Radio Signals

2019 ◽  
pp. 177-188
Author(s):  
Phui San Cheong ◽  
Miguel Camelo ◽  
Steven Latré
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Radio Signals

scholarly journals Towards online triggering for the radio detection of air showers using deep neural networks

2019 ◽  
Vol 216 ◽  
pp. 03004 ◽  
Author(s):  
Florian Föhrer ◽  
Tom Charnock ◽  
Anne Zilles ◽  
Matias Tueros
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Air Showers ◽  
Air Shower ◽  
Single Antenna ◽  
Radio Detection ◽  
Radio Signals ◽  
Trigger Algorithm ◽  
Background Events ◽  
Online Reconstruction

The detection of air-shower events via radio signals requires the development of a trigger algorithm for clean discrimination between signal and background events in order to reduce the data stream coming from false triggers. In this contribution we will describe an approach to trigger air-shower events on a single-antenna level aswell as performing an online reconstruction of the shower parameters using neural networks.

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks

2018 ◽  
Author(s):  
Daniel Povey ◽  
Gaofeng Cheng ◽  
Yiming Wang ◽  
Ke Li ◽  
Hainan Xu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Matrix Factorization ◽  
Deep Neural Networks ◽  
Low Rank ◽  
Rank Matrix ◽  
Low Rank Matrix
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