Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jeremy Stringer"'
Autor:
Bill Hogan, Jeremy Stringer
Publikováno v:
College Athletics and the Law. 15:1-5
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 51:203-216
This paper provides a resource management (RM) framework for electronic support (ES) receivers. The resource manager estimates the number of interference signals and the bandwidths of each interference signal in the electromagnetic (EM) environment.
Autor:
George S. McClellan, Jeremy Stringer
The Foremost Authorities on Student Affairs Address Issues Facing The Field Today The Handbook of Student Affairs Administration is a comprehensive and thoughtful resource for the field, with expert insight on the issues facing student affairs. This
Autor:
Derrick Langley, Diana Cahill, Mary Yvonne Lanzerotti, Richard Martin, Maggie Varga, Sean Creighton, Jeremy Stringer
Publikováno v:
2016 ASEE Annual Conference & Exposition Proceedings.
Publikováno v:
SPIE Proceedings.
Traditional radar propagation modeling is done using a path transmittance with little to no input for weather and atmospheric conditions. As radar advances into the millimeter wave (MMW) regime, atmospheric effects such as attenuation and refraction
Autor:
Bill Hogan, Jeremy Stringer
Publikováno v:
College Athletics and the Law. 15:7-7
Publikováno v:
SSP
n/a
Publikováno v:
2012 IEEE National Aerospace and Electronics Conference (NAECON).
The MCWESS array is a 256-element, 16-channel phased array receiver which was recently built for research purposes in the Air Force Research Laboratory (AFRL) Sensors Directorate. Current research at AFIT includes signal processing techniques for ada
Publikováno v:
IEEE Congress on Evolutionary Computation
This study applies the NSGA-II, SPEA2, and MOEA/D Multi-Objective Evolutionary Algorithms (MOEAs) to the radar phase coded waveform design problem. The MOEAs are used to generate a series of radar waveform phase codes that have excellent range resolu
Publikováno v:
2012 IEEE Radar Conference.
Solving complex real world Multi-Objective Optimization problems is the forte of Multi-Objective Evolutionary Algorithms (MOEA). Such algorithms have been part of many scientific and engineering endeavors. This study applies the NSGA-II and SPEA2 MOE