WebSep 15, 2016 · In this paper, it is shown that dictionary learning, a form of unsupervised machine learning, can improve SSP resolution by generating a dictionary of shape functions for sparse processing (e.g. compressive sensing) that optimally compress SSPs; both minimizing the reconstruction error and the number of coefficients. WebMar 1, 2024 · The sound speed profile can be expressed as an expansion of the empirical orthogonal function for the sound speed variation. Bianco and Gerstoft (2024) …
(PDF) Interpretable deep dictionary learning for sound speed profiles ...
WebThe inverse problem is formulated as a state-space model with a state equation for the time-evolving sound speed profile and a measurement equation that incorporates acoustic … WebDictionary learning of sound speed profiles To provide constraints on the inversion of ocean sound speed profiles (SSPs), SSPs are often modeled using empirical … shank and bone
Inversion of the sound speed profiles with an AUV carrying …
WebSep 1, 2024 · In this paper, we mainly focus on the complete dictionary and propose a low-frequency underwater acoustic signal denoising method based on dictionary learning. We use the training dictionary rather than the fixed dictionary to represent the signal sparsely, without prior information on the signal. WebMar 1, 2024 · The sound speed profile can be expressed as an expansion of the empirical orthogonal function for the sound speed variation. Bianco and Gerstoft (2024) developed a dictionary through a... WebApr 1, 2015 · The method is illustrated with simulation and then verified using acoustic data from a 2009 experiment for which AIS information was retrieved from the Unites States Coast Guard Navigation Center... polymer ar-15 lower receiver