Super-Resolution of Positive Sources on an Arbitrarily Fine Grid von Morgenshtern, Veniamin I.

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A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions von Nambiar, Kamal Gopikrishnan, Morgenshtern, Veniamin I., Hochreuther, Philipp, Seehaus, Thorsten, Braun, Matthias Holger

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Novel Techniques for Void Filling in Glacier Elevation Change Data Sets von Seehaus, Thorsten, Morgenshtern, Veniamin, Hübner, Fabian, Bänsch, Eberhard, Braun, Matthias

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Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems von Bhattacharjee, Protim, Burger, Martin, Borner, Anko, Morgenshtern, Veniamin I.

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On the Sensitivity of Continuous-Time Noncoherent Fading Channel Capacity von Durisi, G., Morgenshtern, V. I., Bolcskei, H.

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Capacity Pre-Log of Noncoherent SIMO Channels Via Hironaka's Theorem von Morgenshtern, V. I., Riegler, E., Wei Yang, Durisi, G., Shaowei Lin, Sturmfels, B., Bolcskei, H.

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Super-Resolution of Positive Sources: The Discrete Setup von Morgenshtern, Veniamin I., Candès, Emmanuel J.

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Super-resolution radar von Heckel, Reinhard, Morgenshtern, Veniamin I., Soltanolkotabi, Mahdi

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Crystallization in Large Wireless Networks von Morgenshtern, V.I., Bolcskei, H.

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Crystallization in large wireless networks: Models, theory, and codes for relaying and cooperation in communication networks von MORGENSHTERN, Veniamin I, BÖLCSKEI, Helmut

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Super-Resolution of Positive Sources on an Arbitrarily Fine Grid von Morgenshtern, Veniamin I

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The SIMO pre-log can be larger than the SISO pre-log von Morgenshtern, Veniamin I, Durisi, Giuseppe, Bölcskei, Helmut

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Region segmentation via deep learning and convex optimization von Sonntag, Matthias, Morgenshtern, Veniamin I

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Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement von Villar-Corrales, Angel, Morgenshtern, Veniamin I

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Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems von Bhattacharjee, Protim, Burger, Martin, Boerner, Anko, Morgenshtern, Veniamin I

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Super-Resolution of Positive Sources on an Arbitrarily Fine Grid von Morgenshtern, Veniamin I

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Region segmentation via deep learning and convex optimization von Sonntag, Matthias, Morgenshtern, Veniamin I

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Super-Resolution Radar von Heckel, Reinhard, Morgenshtern, Veniamin I, Soltanolkotabi, Mahdi

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Information Theory of underspread WSSUS channels von Durisi, Giuseppe, Morgenshtern, Veniamin I., Bölcskei, Helmut, Schuster, Ulrich G., Shamai (Shitz), Shlomo

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Super-Resolution of Positive Sources: the Discrete Setup von Morgenshtern, Veniamin I, Candes, Emmanuel J

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