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pro vyhledávání: '"Ohm, David"'
Autor:
Ohm, David R.
Thesis (Ph. D.)--Oregon State University, .
Printout. Includes bibliographical references (leaves 137-140). Also available on the World Wide Web.
Printout. Includes bibliographical references (leaves 137-140). Also available on the World Wide Web.
Externí odkaz:
http://hdl.handle.net/1957/7385
Autor:
Ohm, David R.
Thesis (M.S.)--Oregon State University, 2005.
Printout. Includes bibliographical references (leaves 68-70). Also available on the World Wide Web.
Printout. Includes bibliographical references (leaves 68-70). Also available on the World Wide Web.
Externí odkaz:
http://hdl.handle.net/1957/11727
Publikováno v:
Occupational Therapy International. Dec2016, Vol. 23 Issue 4, p401-411. 11p.
Publikováno v:
ACSSC
A method for using deep neural networks (DNN) to perform RF emitter localization is presented. The localization is performed using a DNN to perform dual modality sensor fusion to associate observed RF emissions and detected potential RF emitters. A s
Akademický článek
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Autor:
Ohm David R, S. Lawrence Marple
Publikováno v:
2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.
Separating and locating each digital communication signal in a dense signal environment is often impossible using traditional two-parameter FDOA/TDOA joint estimation tools. The conventional 2-D tools produce biased estimates when multiple emitters a
Autor:
Kinsella, Elizabeth Anne, Durocher, Evelyne, Crabtree, Jeffrey L., Wall, Jarrod M., Ohm, David
Publikováno v:
OTJR: Occupation, Participation and Health; October 2016, Vol. 36 Issue: 4 p244-252, 9p