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Journal Articles
- 2018
[j6]Silvija Kokalj-Filipovic, Maria S. Greco, H. Vincent Poor
, George Stantchev, L. Xiao:
Introduction to the Issue on Machine Learning for Cognition in Radio Communications and Radar. IEEE J. Sel. Top. Signal Process. 12(1): 3-5 (2018)- [j5]Kevin Merchant, Shauna Revay, George Stantchev, Bryan Nousain:
Deep Learning for RF Device Fingerprinting in Cognitive Communication Networks. IEEE J. Sel. Top. Signal Process. 12(1): 160-167 (2018) - [j4]Clayton G. Davis, Kevin S. Lorenz, Joel Goodman, George Stantchev, Luciano Boglione, Bryan Nousain:
Alias-Free Products of Signals Near Nyquist Rate. IEEE Trans. Signal Process. 66(16): 4151-4159 (2018) - 2016
- [j3]Kevin S. Lorenz, Joel Goodman, George Stantchev, Nixon A. Pendergrass:
Generalized Transmitter Compensation of Frequency Dependent I/Q Imbalance. IEEE Trans. Signal Process. 64(9): 2220-2231 (2016) - 2009
- [j2]George Stantchev, Derek Juba, William Dorland, Amitabh Varshney:
Using Graphics Processors for High-Performance Computation and Visualization of Plasma Turbulence. Comput. Sci. Eng. 11(2): 52-59 (2009) - 2008
- [j1]George Stantchev, William Dorland, Nail A. Gumerov:
Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU. J. Parallel Distributed Comput. 68(10): 1339-1349 (2008)
Conference and Workshop Papers
- 2018
- [c2]Joel Goodman, Kevin S. Lorenz, Crystal Acost, George Stantchev:
Balanced Multi-window Inference. ICMLA 2018: 629-634 - 2016
- [c1]Silvija Kokalj-Filipovic, Joel Goodman, Crystal Bertoncini Acosta, George Stantchev:
I/O HSMM: Learning behavioral dynamics of a cognitive wireless network node from spectrum sensing. CISS 2016: 472-477
Informal and Other Publications
- 2021
- [i2]Tegan Emerson, Sarah Tymochko, George Stantchev, Jason A. Edelberg, Michael Wilson, Colin C. Olson:
A Topological Approach for Motion Track Discrimination. CoRR abs/2102.05705 (2021) - 2020
- [i1]Yalin E. Sagduyu, Yi Shi, Tugba Erpek, William C. Headley, Bryse Flowers, George Stantchev, Zhuo Lu:
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions. CoRR abs/2001.08883 (2020)
Coauthor Index
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