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Underwater Acoustic Localization with Bayesian Learning
Studying statistical signal processing techniques used to estimate noise and transmitted signal in underwater acoustic communications; developing algorithms to localize remote acoustic sources based on received data from sensor arrays.


Previous poster
Presented at Massachusetts Institute of Technology
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