Hyrum Anderson

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OVERVIEW A PhD candidate with strong research, computational and leadership background. Seeking research oriented summer internship. Active security clearance. Sep 2006 – present Joint deconvolution and classification – Machine learning algorithms for classifying signals corrupted by unknown LTI distortion – Took active part with advisor in writing grants(More)
Simultaneously estimating position and velocity of moving targets using only phase information from single-channel SAR data is impossible. This paper defines classes of equivalent target motion and solves the GMTI problem up to membership in an equivalence class using single-channel SAR phase data. We present a definitions for endo- and exo-clutter that is(More)
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