Dictionary learning of sound speed profiles
WebFeb 1, 2024 · 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... 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) …
Dictionary learning of sound speed profiles
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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. 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 …
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... 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...
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. WebJan 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 …
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.
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 … bird such as a chiffchaffWebMar 12, 2024 · In the actual marine physical environment, sound speed profile (SSP) is affected by many marine environmental parameters, including some relatively stable parameters, such as the structure of the seabed, the depth of the ocean, etc.; and some dynamically changing parameters, such as marine biota, ocean current, temperature, … bird such as the chiffchaffWebDictionary learning of sound speed profiles Michael Biancoa) and Peter Gerstoft Scripps Institution of Oceanography, University of California San Diego, La Jolla, … bird suite oh bother poohWebOct 17, 2024 · Download Citation On Oct 17, 2024, Sijia Sun and others published Sparse Representation of Sound Speed Profiles Based on Dictionary Learning Find, read and cite all the research you need on ... bird sucked into jet engineWebFeb 6, 2024 · ABSTRACT. Uncertainties abound in sound speed profiles (SSPs) measured/estimated by modern ocean observing systems, which impede the … birds ultimate storytime sheet musicWebMay 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... bird subscriptionWebApr 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... birds ultra wash