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IEEE Communications Surveys & Tutorials, ISSN 1553-877X, 2014, Volume 16, Issue 4, pp. 1891 - 1908
Journal Article
IEEE Transactions on Vehicular Technology, ISSN 0018-9545, 09/2018, Volume 67, Issue 9, pp. 8549 - 8560
Journal Article
IEEE Journal of Selected Topics in Signal Processing, ISSN 1932-4553, 10/2014, Volume 8, Issue 5, pp. 831 - 846
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 06/2018, Volume 66, Issue 11, pp. 2933 - 2946
Journal Article
IEEE Transactions on Information Theory, ISSN 0018-9448, 10/2013, Volume 59, Issue 10, pp. 6220 - 6242
Journal Article
IEEE Transactions on Communications, ISSN 0090-6778, 02/2016, Volume 64, Issue 2, pp. 601 - 617
Journal Article
IEEE Transactions on Communications, ISSN 0090-6778, 12/2014, Volume 62, Issue 12, pp. 4362 - 4372
Journal Article
IEEE Communications Surveys & Tutorials, ISSN 1553-877X, 2007, Volume 9, Issue 2, pp. 18 - 48
Orthogonal frequency division multiplexing (OFDM) is a special case of multi-carrier transmission and it can accommodate high data rate requirement of... 
OFDM | Radio transmitters | Transmitting antennas | Channel estimation | Scattering | Receiving antennas | Receivers | Bandwidth | MIMO | Statistics | ESTIMATION ALGORITHMS | PILOT ARRANGEMENT | DECISION-FEEDBACK | DFT | PERFORMANCE | MIMO-OFDM | TRACKING | TRANSMIT DIVERSITY | TRAINING SEQUENCE | COMPUTER SCIENCE, INFORMATION SYSTEMS | TELECOMMUNICATIONS | MODULATION
Journal Article
IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, 09/2017, Volume 35, Issue 9, pp. 1996 - 2009
Journal Article
IEEE Transactions on Wireless Communications, ISSN 1536-1276, 03/2018, Volume 17, Issue 3, pp. 1822 - 1835
Journal Article
IEEE Communications Magazine, ISSN 0163-6804, 11/2010, Volume 48, Issue 11, pp. 164 - 174
Journal Article
Neural Networks, ISSN 0893-6080, 05/2017, Volume 89, pp. 61 - 73
In this paper, the state estimation problem is investigated for a class of uncertain discrete-time neural networks subject to infinitely distributed delays and... 
Recurrent neural networks | Randomly occurring uncertainties | Channel fadings | State estimation | Infinitely distributed delays | Models, Theoretical | Uncertainty | Algorithms | Time Factors | Computer Simulation | Random Allocation | Neural Networks (Computer) | Fading channels | Neural networks | Analysis
Journal Article
IEEE Communications Letters, ISSN 1089-7798, 04/2019, Volume 23, Issue 4, pp. 652 - 655
In this letter, we present a deep learning algorithm for channel estimation in communication systems. We consider the time-frequency response of a fast fading... 
Training | Time-frequency analysis | deep learning | Image resolution | OFDM | image restoration | Pipelines | Channel estimation | Estimation | image super-resolution | TELECOMMUNICATIONS | Algorithms | Image processing | Noise reduction | Machine learning | Frequency response | Image restoration
Journal Article