Literatura académica sobre el tema "Passive underwater tomography"
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Artículos de revistas sobre el tema "Passive underwater tomography"
Jonsson, P., I. Sillitoe, B. Dushaw, J. Nystuen y J. Heltne. "Observing using sound and light – a short review of underwater acoustic and video-based methods". Ocean Science Discussions 6, n.º 1 (29 de abril de 2009): 819–70. http://dx.doi.org/10.5194/osd-6-819-2009.
Texto completoMiksis-Olds, Jennifer L., Eric Rehm, Bruce M. Howe, Peter F. Worcester, Georgios Haralabus y Hanne Sagen. "Envisioning a Global Multi-Purpose Ocean Acoustic Network". Marine Technology Society Journal 55, n.º 3 (1 de mayo de 2021): 78–79. http://dx.doi.org/10.4031/mtsj.55.3.27.
Texto completoTselentis, G.-Akis, Anna Serpetsidaki, Nikolaos Martakis, Efthimios Sokos, Paraskevas Paraskevopoulos y Sotirios Kapotas. "Local high-resolution passive seismic tomography and Kohonen neural networks — Application at the Rio-Antirio Strait, central Greece". GEOPHYSICS 72, n.º 4 (julio de 2007): B93—B106. http://dx.doi.org/10.1190/1.2729473.
Texto completoRonczka, Mathias, Kristofer Hellman, Thomas Günther, Roger Wisén y Torleif Dahlin. "Electric resistivity and seismic refraction tomography: a challenging joint underwater survey at Äspö Hard Rock Laboratory". Solid Earth 8, n.º 3 (13 de junio de 2017): 671–82. http://dx.doi.org/10.5194/se-8-671-2017.
Texto completoMuinde, Jacob, Tian-Hao Zhang, Zu-Long Liang, Si-Pei Liu, Esther Kioko, Zheng-Zhong Huang y Si-Qin Ge. "Functional Anatomy of Split Compound Eyes of the Whirligig Beetles Dineutus mellyi (Coleoptera: Gyrinidae)". Insects 15, n.º 2 (7 de febrero de 2024): 122. http://dx.doi.org/10.3390/insects15020122.
Texto completoCampos, Lisandro, Marta S. Fernández y Yanina Herrera. "A new ichthyosaur from the Late Jurassic of north-west Patagonia (Argentina) and its significance for the evolution of the narial complex of the ophthalmosaurids". Zoological Journal of the Linnean Society, 22 de octubre de 2019. http://dx.doi.org/10.1093/zoolinnean/zlz095.
Texto completoTesis sobre el tema "Passive underwater tomography"
Leroy, Charlotte. "Using ocean ambient noise cross-correlations for passive acoustic tomography". Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39636.
Texto completoJosso, Nicolas. "Caractérisation des milieux sous-marins en utilisant des sources mobiles d'opportunité". Phd thesis, Grenoble INPG, 2010. https://theses.hal.science/tel-00546875.
Texto completoQuickness, secrecy and loudness constraints imposed by modern oceanic characterization led to passive tomography which is defined as a quick, secretive and quiet mean of estimating underwater propagation canals. This concept uses signals naturally existing in the medium and transmitted by opportunity sources. Opportunity signals are unknown at the receiver but they also carry information about canal physical properties. This research work is dedicated to underwater environments characterization using opportunity bioacoustic signals (dolphin whistles). Opportunity signals are simultaneously transformed by underwater propagation and the unknown motion effects. Firstly, we propose new methods for estimating simultaneously environmental parameters and transformations created by motion effects. These parameters are estimated in the broadband ambiguity plane for active tomography (the emitted signal is known) with unknown motion in the system. This work, allowing to compensate for motion effect in active scenarios, is validated on different simulated and real data. Then, we apply our signal processing methods to passive underwater tomography, using a single hydrophone. In this context, both the transmitted signal, source position and source speed are completely unknown. From the theory we developed for active tomography, we derive new methods allowing the estimation of impulse response using underwater mammals vocalization recorded on a single hydrophone. Information extracted on opportunity signals is then used for source position and speed estimation. These methods are applied and validated on different simulated and real data from at sea experiments