Zobrazeno 1 - 10
of 804
pro vyhledávání: '"Thomas M Antonsen"'
Autor:
Biniyam Tesfaye Taddese, Gabriele Gradoni, Franco Moglie, Thomas M Antonsen, Edward Ott, Steven M Anlage
Publikováno v:
New Journal of Physics, Vol 15, Iss 2, p 023025 (2013)
A sensor was developed to quantitatively measure perturbations which change the volume of a wave chaotic cavity while leaving its shape intact. The sensors work in the time domain by using either scattering fidelity of the transmitted signals or time
Externí odkaz:
https://doaj.org/article/4559e3efc9cd487f971256481bb8f379
Autor:
Colin D. Joye, Alexander N. Vlasov, Reginald Jaynes, Igor A. Chernyavskiy, Khanh T. Nguyen, John Pasour, John C. Rodgers, Franklin N. Wood, Vadim Jabotinski, Thomas M. Antonsen, Simon J. Cooke, Alan M. Cook, Baruch Levush
Publikováno v:
IEEE Transactions on Electron Devices. 70:2828-2833
Publikováno v:
IEEE Transactions on Electron Devices. 70:2680-2692
Publikováno v:
IEEE Transactions on Electromagnetic Compatibility. 65:454-463
Publikováno v:
IEEE Transactions on Plasma Science. 50:2568-2577
Autor:
Vadim Jabotinski, Igor A. Chernyavskiy, Alexander N. Vlasov, Thomas M. Antonsen, Baruch Levush
Publikováno v:
IEEE Transactions on Electron Devices. 69:2611-2617
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 1, Iss 5, Pp 117-128 (2013)
Random fabrication errors may have detrimental effects on the performance of traveling wave tubes (TWTs) of all types, especially in the sub-millimeter wavelength regime and beyond. Previous studies calculated the standard deviation of the small sign
Externí odkaz:
https://doaj.org/article/5eec6402cde34b6e9b66b0b048e13989
Publikováno v:
IEEE Transactions on Plasma Science. 48:4171-4180
We present a new approach to the study of the stability of vacuum electronic devices (VEDs) using the Naval Research Laboratory (NRL) large-signal code TESLA-Z. The approach combines a precomputed complex impedance matrix, $\hat {Z}$ , describing the
Publikováno v:
Physical Review Applied. 17
Electromagnetic environments are becoming increasingly complex and congested, creating a growing challenge for systems that rely on electromagnetic waves for communication, sensing, or imaging, particularly in reverberating environments. The use of p
Machine learning (ML) has found widespread application over a broad range of important tasks. To enhance ML performance, researchers have investigated computational architectures whose physical implementations promise compactness, high-speed executio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f17f75062bf20221e85db1f068415b45