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The general theory of nuclear magnetic resonance ͑NMR͒ imaging of large electromagnetically active systems is considered. We emphasize particularly noninvasive geophysical applications such as the imaging of subsurface water content. We derive a general formula for the NMR response voltage, valid for arbitrary transmitter and receiver loop geometry and(More)
Motivated by the recent application of the Earth-field nuclear magnetic resonance (NMR) technique to the detection and mapping of subsurface groundwater (to depths of 100 m or so), and making use of a recently developed theory of the method, we consider in detail the resulting inverse problem, namely the inference of the subsurface water distribution from a(More)
We investigate the complexity of template-based ATR algorithms using SAR imagery as an example. Performance measures (such as P id) of such algorithms typically improve with increasing number of stored reference templates. This presumes, of course, that the training templates contain adequate statistical sampling of the range of observed or test templates.(More)
The general theory of surface NMR imaging of large electromagnetically active systems is considered, motivated by geophysical applications. A general imaging equation is derived for the NMR voltage response, valid for arbitrary transmitter and receiver loop geometry and arbitrary conductivity structure of the sample. When the conductivity grows to the point(More)
We are undertaking the development of a brain computer interface (BCI) [1] for control of an upper limb prosthetic. Our approach exploits electrical neural activity data for motor intent estimation, and eye gaze direction for target selection. These data streams are augmented by computer vision (CV) for 3D scene reconstruction, and are integrated with a(More)
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