Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Garrett Vanhoy"'
Autor:
Luke Boegner, Garrett Vanhoy, Phillip Vallance, Manbir Gulati, Dresden Feitzinger, Bradley Comar, Robert D. Miller
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:
https://explore.openaire.eu/search/publication?articleId=doi_________::49d1ba7748a2f64f28b30c8cea1611db
https://doi.org/10.31219/osf.io/cvus7
https://doi.org/10.31219/osf.io/cvus7
Publikováno v:
2022 IEEE International Symposium on Phased Array Systems & Technology (PAST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad23ade38058a072b3ccf0412ec89891
https://doi.org/10.1109/past49659.2022.9975034
https://doi.org/10.1109/past49659.2022.9975034
Publikováno v:
International Journal of Multidisciplinary Perspectives in Higher Education. 5:160-166
This essay considers the significance of students’ emotional experiences during online engineering instruction by reviewing the evidence of factors that make for more efficient and effective online instructional practices during the pandemic period
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f765b9e4eab7ec1737e7d55901308ddc
https://doi.org/10.32674/jimphe.v5i1.2811
https://doi.org/10.32674/jimphe.v5i1.2811
Publikováno v:
2011 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00f8508b9881be4697ab733083d45cf8
https://doi.org/10.18260/1-2--18556
https://doi.org/10.18260/1-2--18556
Publikováno v:
Analog Integrated Circuits and Signal Processing. 106:1-7
Modulation Classification (MC) is a difficult task that can increase awareness in Cognitive Radio (CR) applications. Much of the research in MC has been for single antenna and single user scenarios. With multiple users, blind source separation (BSS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29935728b13a33ed2af323abb9e5f9a1
https://doi.org/10.1007/s10470-017-1076-2
https://doi.org/10.1007/s10470-017-1076-2
Publikováno v:
Analog Integrated Circuits and Signal Processing. 91:305-313
In modern radar systems, low probability of intercept (LPI) waveforms are used to make detection by a potential adversary difficult. This is accomplished using wideband waveforms, frequency hopping, and continuous waveforms (FMCW) to reduce the signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82bd25a19a07856e04c2d863a6fe4314
https://doi.org/10.1007/s10470-017-0944-0
https://doi.org/10.1007/s10470-017-0944-0
Publikováno v:
Analog Integrated Circuits and Signal Processing. 91:257-266
In order to scale with the demand of higher data rates and improved spectral efficiency in next generation wireless communication systems, a large-scale multiple-input and multiple-output (MIMO) technology called massive MIMO has been proposed. In ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee40e579a0119fd31da8931f81830f3a
https://doi.org/10.1007/s10470-017-0943-1
https://doi.org/10.1007/s10470-017-0943-1
Publikováno v:
GlobalSIP
The current dataset generation methods for RF Machine Learning (RFML) tasks consist of either completely synthetically generated data or completely raw digitized data from an RF front end. The synthetic datasets are often unrealistic in terms of wave
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ad410f9be077e8380d12d79f650d7a
https://doi.org/10.1109/globalsip45357.2019.8969160
https://doi.org/10.1109/globalsip45357.2019.8969160
Publikováno v:
GlobalSIP
While research on adversarial examples (AdExs) in machine learning for images has been prolific, similar attacks on deep learning (DL) for radio frequency (RF) signals and corresponding mitigation strategies are scarcely addressed in the published wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae8a85680fc9d0b8cb74891cbedebc8d
https://doi.org/10.1109/globalsip45357.2019.8969138
https://doi.org/10.1109/globalsip45357.2019.8969138
Publikováno v:
MILCOM
Recent work in modulation classification using deep learning has produced promising results in classifying a diverse set of signals with only 128 IQ samples having undergone common radio impairments and frequency selective fading. Using deep learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acf372de4ef771de360b0530d720acc4
https://doi.org/10.1109/milcom.2018.8599861
https://doi.org/10.1109/milcom.2018.8599861