Dictionary learning of sound speed profiles
WebFeb 1, 2024 · In particular, two kinds of SSP uncertainties are considered: measurement errors, which generally exist in the form of Gaussian noises; and the disturbances/anomalies caused by potential ocean... WebMar 1, 2024 · Dictionary learning of sound speed profiles. Michael Bianco Scripps Institution of Oceanography, University of California San Diego, La Jolla, California …
Dictionary learning of sound speed profiles
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WebAug 4, 2024 · Sound speed profile reconstruction using the dictionary learning (Bianco and Gerstoft, 2024). Seabed substrate maps including bathymetry, backscatter strength, and machine learning and... 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 …
WebJun 29, 2024 · Speed of sound Signal processing Birds Partial differential equations Microphone array ABSTRACT Compressive sensing (CS) in acoustics has received significant attention in the last decade, and thus motivates this special issue. CS emerged from the signal processing and applied math community and has since generated … WebOct 19, 2024 · Sparse Representation of Sound Speed Profiles Based on Dictionary Learning Abstract: The perturbations of sound speed profiles (SSPs) has great influence on sound propagation. Empirical orthogonal functions (EOFs) are often used to simplify the description of sound speed profiles.
WebMar 1, 2024 · Europe PMC is an archive of life sciences journal literature. WebThe sound speed is a key parameter that affects the underwater acoustic positioning and navigation. Aiming at the high-precision construction of sound speed field (SSF) in the complex...
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...
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 measurements via a hydrophone array. Empirical orthogonal functions are introduced to reduce the unknown parameters in inversion algorithm. the pink ribbon girlsWebOct 19, 2024 · Sparse Representation of Sound Speed Profiles Based on Dictionary Learning Abstract: The perturbations of sound speed profiles (SSPs) has great … the pink ribbon place riverside caWebJan 6, 2024 · PDF Tools Share Abstract A range-dependent dictionary learning method is proposed to retrieve the sound-speed profile (SSP) in a water body, with the whole computational domain decomposed into multiple range-independent subdomains. A dictionary is constructed by using the World Ocean Atlas depth profiles of temperature … the pink ride on excavatorWebSep 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 … the pink ribbon shopWebJan 19, 2024 · Empirical orthogonal functions (EOFs) are regularly employed to model and represent SSPs using a linear combination of basis functions that capture the sound … the pink restaurant menuWebMay 1, 2024 · Theoretically, the Super-Resolution (SR) reconstruction scheme is a method which is performed by many applications nowadays for the purpose of generating a High-Resolution (HR) image using the... the pink restaurant miamiWebMay 5, 2024 · Here, the constant k = ω / c is the acoustic wavenumber, ω is the angular frequency, c is the sound speed, and ki is the wavenumber along the i = x , y , z spatial coordinates. Assuming without loss of generality that waves propagate along the z -axis, their wavenumber is k z = ± k 2 − k x 2 − k y 2. side effects from phenobarbital