Dictionary learning of sound speed profiles
WebFeb 6, 2024 · ABSTRACT. Uncertainties abound in sound speed profiles (SSPs) measured/estimated by modern ocean observing systems, which impede the … 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...
Dictionary learning of sound speed profiles
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WebJan 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 … 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 ...
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 … 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 ...
WebMay 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. 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 …
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 6, 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 … significance of slew rateWebJan 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 … significance of slope of regressionWebOct 19, 2024 · Sparse Representation of Sound Speed Profiles Based on Dictionary Learning Abstract: The perturbations of sound speed profiles (SSPs) has great … significance of slenderness ratioWebMar 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... the pun guysWebFeb 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... thepunguys.comWebSep 15, 2016 · Dictionary learning of sound speed profiles September 2016 The Journal of the Acoustical Society of America140(4) … significance of sludge volume indexWebAbstract: A range-dependent dictionary learning method is proposed to retrieve the sound-speed profile (SSP) in a water body, with the whole computational domain … the punic war oversimplified