Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Comar, Bradley"'
Autor:
Boegner, Luke, Vanhoy, Garrett, Vallance, Phillip, Gulati, Manbir, Feitzinger, Dresden, Comar, Bradley, Miller, Robert D.
Applications of deep learning to the radio frequency (RF) domain have largely concentrated on the task of narrowband signal classification after the signals of interest have already been detected and extracted from a wideband capture. To encourage br
Externí odkaz:
http://arxiv.org/abs/2211.10335
Autor:
Boegner, Luke, Gulati, Manbir, Vanhoy, Garrett, Vallance, Phillip, Comar, Bradley, Kokalj-Filipovic, Silvija, Lennon, Craig, Miller, Robert D.
Existing datasets used to train deep learning models for narrowband radio frequency (RF) signal classification lack enough diversity in signal types and channel impairments to sufficiently assess model performance in the real world. We introduce the
Externí odkaz:
http://arxiv.org/abs/2207.09918
Autor:
Comar, Bradley Bisham, 1972
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 79).
by Bradley Bisham Comar.
M.Eng.
Includes bibliographical references (p. 79).
by Bradley Bisham Comar.
M.Eng.
Externí odkaz:
http://hdl.handle.net/1721.1/86295
Autor:
Comar, Bradley
Publikováno v:
International Journal of Interdisciplinary Telecommunications & Networking; Oct-Dec2021, Vol. 13 Issue 4, p1-20, 20p
