Two applications of deep learning in the physical layer of communication systems [lecture notes]
E Bjornson, P Giselsson - IEEE Signal Processing Magazine, 2020 - ieeexplore.ieee.org
Deep learning has proven itself to be a powerful tool to develop datadriven signal
processing algorithms for challenging engineering problems. By learning the key features …
processing algorithms for challenging engineering problems. By learning the key features …
Two applications of deep learning in the physical layer of communication systems
E Björnson, P Giselsson - arXiv preprint arXiv:2001.03350, 2020 - arxiv.org
Deep learning has proved itself to be a powerful tool to develop data-driven signal
processing algorithms for challenging engineering problems. By learning the key features …
processing algorithms for challenging engineering problems. By learning the key features …
Deep learning and its applications to signal and information processing [exploratory dsp]
The purpose of this article is to introduce the readers to the emerging technologies enabled
by deep learning and to review the research work conducted in this area that is of direct …
by deep learning and to review the research work conducted in this area that is of direct …
[HTML][HTML] A state-of-the-art survey on deep learning theory and architectures
In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …
domains. This new field of machine learning has been growing rapidly and has been …
[DOC][DOC] Deep learning for signal and information processing
This short monograph contains the material expanded from two tutorials that the authors
gave, one at APSIPA in October 2011 and the other at ICASSP in March 2012. Substantial …
gave, one at APSIPA in October 2011 and the other at ICASSP in March 2012. Substantial …
Artificial intelligence in the rising wave of deep learning: The historical path and future outlook [perspectives]
L Deng - IEEE Signal Processing Magazine, 2018 - ieeexplore.ieee.org
Artificial intelligence (AI) is a branch of computer science and a technology aimed at
developing the theories, methods, algorithms, and applications for simulating and extending …
developing the theories, methods, algorithms, and applications for simulating and extending …
[PDF][PDF] Three classes of deep learning architectures and their applications: a tutorial survey
L Deng - APSIPA transactions on signal and information …, 2012 - academia.edu
In this invited paper, my overview material on the same topic as presented in the plenary
overview session of APSIPA-2011 and the tutorial material presented in the same …
overview session of APSIPA-2011 and the tutorial material presented in the same …
A tutorial survey of architectures, algorithms, and applications for deep learning
L Deng - APSIPA transactions on Signal and Information …, 2014 - cambridge.org
In this invited paper, my overview material on the same topic as presented in the plenary
overview session of APSIPA-2011 and the tutorial material presented in the same …
overview session of APSIPA-2011 and the tutorial material presented in the same …
The artificial intelligence renaissance: deep learning and the road to human-level machine intelligence
KH Tan, BP Lim - APSIPA Transactions on Signal and Information …, 2018 - cambridge.org
In this paper we look at recent advances in artificial intelligence. Decades in the making, a
confluence of several factors in the past few years has culminated in a string of …
confluence of several factors in the past few years has culminated in a string of …
Foundations and trends in signal processing: Deep learning–methods and applications
This monograph provides an overview of general deep learning methodology and its
applications to a variety of signal and information processing tasks. The application areas …
applications to a variety of signal and information processing tasks. The application areas …