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2010
A sample of radar data is composed of either interference alone or interference plus target echoes. The interference is, at a minimum, receiver noise and might also include clutter echoes, electromagnetic interference (EMI) from other transmitting sources (e.g., radars, television stations, cellular telephones), and hostile jamming.
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A sample of radar data is composed of either interference alone or interference plus target echoes. The interference is, at a minimum, receiver noise and might also include clutter echoes, electromagnetic interference (EMI) from other transmitting sources (e.g., radars, television stations, cellular telephones), and hostile jamming.
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An Entropy Model with Variable Target
Environment and Planning A: Economy and Space, 1990In this paper an entropy model with variable target is presented, in which target values are assumed to belong to a specified convex set, so that multiple base-year information and forecasts of future trends can be handled without prior aggregation of such information into one fixed target.
K O Jörnsten +3 more
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Short-wavelength target modeling
IEEE Transactions on Antennas and Propagation, 1984A simplified model has been employed to review the scattering characteristics of targets in the short wavelength limit. It is demonstrated that the reflected signal can be modeled as a diffuse plus a finite number of coherent returns (also called glints). It is then demonstrated that for accurate target location and direction it is usually necessary to
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Modeling head tracking of visual targets
Journal of Vestibular Research, 2002Control of the head involves somatosensory, vestibular, and visual feedback. The dynamics of these three feedback systems must be identified in order to gain a greater understanding of the head control system. We have completed one step in the development of a head control model by identifying the dynamics of the visual feedback system.
K J, Chen +3 more
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Expanded swerling target models
IEEE Transactions on Aerospace and Electronic Systems, 2003Radar target fluctuation models were first introduced by Swerling in the 1950s and they proved to be very useful. Swerling soon realized, however, that his original four models were inadequate and generalized them through use of the gamma distribution. These generalized results still had serious limitations in modeling fluctuating targets.
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Modeling schizophrenia: uncovering novel therapeutic targets
Expert Review of Clinical Pharmacology, 2012The vague relationship between diagnosis, underlying etiology and a rudimentary understanding of the pathophysiology of psychosis, particularly schizophrenia, has made it difficult to develop and validate suitable disease models for such disorders. Despite recent technological advancements, animal models have yet to yield a revolutionary treatment for ...
Lieve, Desbonnet +2 more
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Modeling Relocatable Nuclear Targets
Interfaces, 1991The US Army Concepts Analysis Agency (CAA) is responsible for modeling the employment of tactical nuclear weapons at the theater level. The currently available simulation that models the exchange of tactical nuclear weapons takes a lot of time to set up and run.
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CML: a model for targeted therapy
Best Practice & Research Clinical Haematology, 2009The discovery of the Philadelphia (Ph) chromosome represented the first step towards understanding the molecular basis of haematological malignancies. Subsequent developments including the characterisation of t(9;22)(q34;q11) translocation, the identification of the breakpoint cluster region as well as the demonstration that retrovirally mediated ...
CILLONI, Daniela, SAGLIO, Giuseppe
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Modeling Human Disease by Gene Targeting
2004An accepted practice of studying human disease processes is to establish disease surrogates using model vertebrate and invertebrate species. In many respects, this practice is predicated on the underlying assumption that all species have, to a large extent, the same repertoire of genes, which then leads to the conclusion that model species have common ...
Dodd, Andrew +3 more
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