Dictionary learning of sound speed profiles

WebOct 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 ... WebMar 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, …

Inversion of the sound speed profiles with an AUV carrying …

WebDictionary learning of sound speed profiles. Article. Full-text available. Sep 2016; Michael J. Bianco. Peter Gerstoft. To provide constraints on their inversion, ocean sound speed profiles (SSPs ... 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 … dark stains in aluminum cookware https://bohemebotanicals.com

Sparse Representation of Sound Speed Profiles Based on …

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... WebDictionary learning of sound speed profiles To provide constraints on the inversion of ocean sound speed profiles (SSPs), SSPs are often modeled using empirical … WebThe water depth is 160 m. Sound speed, density, and attenuation are 1800 m/s, 2.0 g/cm 3 , and 0.1 dB/λ, respectively. ... from publication: Compressive Sound Speed Profile Inversion Using ... dark stain over white paint

Numerical experiment environment: The sound speed profile is …

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Dictionary learning of sound speed profiles

Michael BIANCO PhD University of California, San

WebThe EOFs identify spatial structures with dominant variability and represent their temporal evolution without any prior information, expressing SSPs as a linear combination of few orthogonal basis functions that describe the statistics of … WebDefinition of Sound was a London-based dance-music group, consisting of Kevin Clark and Don Weekes, working with musicians Rex Brough (aka The Red King) and later Mike …

Dictionary learning of sound speed profiles

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WebDictionary learning of sound speed profiles. J Acoust Soc Am. 2024 03; 141(3):1749. Bianco M, Gerstoft P. PMID: 28372126. View in: PubMed Mentions: 1 Fields: Aud Audiology Spe Speech-Language Pathology Multiple-array passive acoustic source localization in shallow water. J Acoust Soc Am. 2024 03; 141(3):1501. 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.

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 … 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...

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, 2016 · Ocean acoustic sound speed profile (SSP) estimation requires the inversion of acoustic fields using limited observations. Compressive sensing (CS) asserts that certain underdetermined...

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.

WebDictionary learning of sound speed profiles Michael Biancoa) and Peter Gerstoft Scripps Institution of Oceanography, University of California San Diego, La Jolla, … dark stains on ceilingWebAbstract: A range-dependent dictionary learning method is proposed to retrieve the sound-speed profile (SSP) in a water body, with the whole computational domain … bishop\\u0027s chairWebFeb 6, 2024 · ABSTRACT. Uncertainties abound in sound speed profiles (SSPs) measured/estimated by modern ocean observing systems, which impede the … darkstalker fathom and clearsighthttp://noiselab.ucsd.edu/papers/Bianco2024.pdf dark stains on teeth by gumlineWebAug 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... bishop\u0027s certificate worcesterWebSep 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. darkstalkers characters listWebJan 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 … dark stains on laminate floor