Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pierre F. Lermusiaux"'
Autor:
Timothy F. Duda, Arthur E. Newhall, Ying-Tsong Lin, James Lynch, Glen Gawarkiewicz, Weifeng G. Zhang, Karl R. Helfrich, Pierre F. Lermusiaux, Keith von der Heydt, John Kemp
Publikováno v:
The Journal of the Acoustical Society of America. 152:A44-A44
New findings in outer-shelf and shelfbreak acoustics have been enabled by experimental and computational advances over the last 25 years. The details of sound field variability caused by highly dynamic conditions often found in this regime have becom
Publikováno v:
The Journal of the Acoustical Society of America. 152:A185-A185
In marine applications, the value of accurate modeling and learning for stochastic acoustic propagation in uncertain ocean environments cannot be overstated. In this work, we derive stochastic theory and schemes for (i) modeling of high frequency aco
Publikováno v:
The Journal of the Acoustical Society of America. 152:A158-A158
Acoustic situation awareness consists of knowing how far own sensors can detect other platforms and how detectable your platform is to their sensors. Since acoustic propagation is reciprocal, differences are down to source levels produced by each pla
Publikováno v:
The Journal of the Acoustical Society of America. 152:A156-A156
A sufficiently accurate representation of the ocean physics is needed for reliable underwater acoustics forecasting. Ocean physics are often simulated by high-dimensional data-assimilative numerical ocean simulations. Due to operational constraints s
Publikováno v:
The Journal of the Acoustical Society of America. 152:A201-A201
Reliable acoustic exploration and navigation in the ocean requires precise knowledge of the environmental fields (e.g. ocean physics, bathymetry, seabed) and acoustic parameters (e.g. source location and frequencies). However, such knowledge is typic
Autor:
Aaron Charous, Pierre F. Lermusiaux
Publikováno v:
The Journal of the Acoustical Society of America. 152:A81-A81
Many popular numerical methods, such as finite difference and spectral methods, rely on simple domain geometry and environmental smoothness. Unfortunately, these features are rarely found in real-world simulations. We propose learning coordinate tran
Autor:
Pierre F Lermusiaux
The overall goal is to better understand, model, forecast and exploit environmental and acoustic fields and uncertainties for efficient sonar operations and to research, integrate and demonstrate end-to-end prediction and DA systems to do so.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af1fe939a685cab77f64a47727941bfe
https://doi.org/10.21236/ada531379
https://doi.org/10.21236/ada531379