Tim O'Shea
Tim O'Shea
Research Assistant Professor, Virginia Tech
Adresse e-mail validée de vt.edu - Page d'accueil
Citée par
Citée par
An Introduction to Deep Learning for the Physical Layer
TJ O'Shea, J Hoydis
IEEE Transactions on Cognitive Communications and Networking, 2017
Convolutional Radio Modulation Recognition Networks
TJ O'Shea, J Corgan, TC Clancy
Engineering Applications of Neural Networks: 17th International Conference …, 2016
Applications of machine learning to cognitive radio networks
C Clancy, J Hecker, E Stuntebeck, T O'Shea
Wireless Communications, IEEE 14 (4), 47-52, 2007
Over-the-air deep learning based radio signal classification
TJ O’Shea, T Roy, TC Clancy
IEEE Journal of Selected Topics in Signal Processing 12 (1), 168-179, 2018
Deep Architectures for Modulation Recognition
NE West, TJ O'Shea
IEEE International Symposium on Dynamic Spectrum Access Networks, 2017
Learning to communicate: channel auto-encoders, domain specific regularizers, and attention
TJ O'Shea, K Karra, TC Clancy
2016 IEEE International Symposium on Signal Processing and Information …, 2016
Deep learning based MIMO communications
TJ O'Shea, T Erpek, TC Clancy
arXiv preprint arXiv:1707.07980, 2017
Radio machine learning dataset generation with gnu radio
TJ O'shea, N West
Proceedings of the GNU Radio Conference 1 (1), 2016
Practical signal detection and classification in gnu radio
TJ O’shea, TC Clancy, HJ Ebeid
SDR forum technical conference (SDR), 2007
Physical layer communications system design over-the-air using adversarial networks
TJ O'Shea, T Roy, N West, BC Hilburn
2018 26th European Signal Processing Conference (EUSIPCO), 529-532, 2018
Architecture for an open-source cognitive radio
E Stuntebeck, T O’Shea, J Hecker, T Clancy
Proceedings of the SDR forum technical conference, 2006
Unsupervised representation learning of structured radio communication signals
TJ O'Shea, J Corgan, TC Clancy
2016 First International Workshop on Sensing, Processing and Learning for …, 2016
Approximating the void: Learning stochastic channel models from observation with variational generative adversarial networks
TJ O’Shea, T Roy, N West
2019 International Conference on Computing, Networking and Communications …, 2019
Recurrent neural radio anomaly detection
TJ O'Shea, TC Clancy, RW McGwier
arXiv preprint arXiv:1611.00301, 2016
Radio transformer networks: Attention models for learning to synchronize in wireless systems
TJ O'Shea, L Pemula, D Batra, TC Clancy
2016 50th Asilomar Conference on Signals, Systems and Computers, 662-666, 2016
SIMD programming in GNURadio: Maintainable and user-friendly algorithm optimization with VOLK
T Rondeau, N McCarthy, T O’Shea
Conference on Communications Technologies and Software Defined Radio (SDR’12 …, 2012
Physical layer deep learning of encodings for the MIMO fading channel
TJ O'Shea, T Erpek, TC Clancy
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
Semi-supervised radio signal identification
TJ O'Shea, N West, M Vondal, TC Clancy
2017 19th International Conference on Advanced Communication Technology …, 2017
Learning approximate neural estimators for wireless channel state information
T O'Shea, K Karra, TC Clancy
2017 IEEE 27th international workshop on machine learning for signal …, 2017
End-to-end radio traffic sequence recognition with recurrent neural networks
TJ O'Shea, S Hitefield, J Corgan
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
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