10: Efficient Inversion In Underwater Acoustics With Iterative And Sequential Bayesian Methods

نویسنده

  • Zoi-Heleni Michalopoulou
چکیده

Continuing efforts from previous years, we work with Bayesian approaches applied to acoustic signals for the extraction of acoustic features using a combination of physics and statistical signal processing. We are focusing on identifying arrival times and amplitudes of distinct frequencies (within a single mode or across different modes). Those provide significant information on properties of the propagation medium and source location. The role of modal arrival times and amplitudes in geoacoustic inversion and source localization has been discussed in [1, 2, 3, 4, 5].

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Efficient Inversion in Underwater Acoustics with Iterative and Sequential Bayesian Methods

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تاریخ انتشار 2010