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Showing 1 to 2 of 2 for “"Data-driven Localization"”.
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Data-Driven Localization and Structure Learning in Reverberant Underwater Acoustic Environments
Passive localization and tracking of a mobile emitter, and the joint learning of its reverberant 3D environment, are important yet challenging tasks in the shallow-water underwater acoustic setting. A typical application is the monitoring of submarines or other man-made emitters with a small, …
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Environmental adaptation in data-driven underwater acoustic signal processing
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms