Inverse Problems in Underwater Acoustics
Editat de Michael I. Taroudakis, George Makrakisen Limba Engleză Hardback – 26 iun 2001
The chapters in this volume discuss some of the contemporary aspects of these problems. They provide recent and useful results for bottom recognition, inverse scattering in acoustic wave guides, and ocean acoustic tomography, as well as a discussion of some of the new algorithms, such as those related to matched-field processing, that have recently been used for inverting experimental data. Each chapter is by a noted expert in the field and represents the state of the art. The chapters have all been edited to provide a uniform format and level of presentation.
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Specificații
ISBN-13: 9780387952482
ISBN-10: 0387952489
Pagini: 216
Ilustrații: XII, 216 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.51 kg
Ediția:2001
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 0387952489
Pagini: 216
Ilustrații: XII, 216 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.51 kg
Ediția:2001
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1 What Are We Inverting For?.- 2 Freeze Bath Inversion for Estimation of Geoacoustic Parameters.- 3 Tomographic Inversion on Multiple Receivers/Arrays from Multiple Sources for the Estimation of Shallow Water Bottom Properties.- 4 Nonlinear Optimization Techniques for Geoacoustic Tomography.- 5 Estimating the Impulse Response of the Ocean: Correlation Versus Deconvolution.- 6 Regularized Inversion for Towed-Array Shape Estimation.- 7 Mode-Coupling Effects in Acoustic Thermometry of the Arctic Ocean.- 8 On the Characterization of Objects in Shallow Water Using Rigorous Inversion Methods.- 9 Inverse Boundary-Value Problem for Ocean Acoustics Using Point Sources.- 10 Multidimensional Inverse Problem for the Acoustic Equation in the Ray Statement.- Appendix Ocean Acoustic Tomography: Integral Data and Ocean Models.- A.1 Introduction.- A.2 Sampling Properties of Acoustic Rays.- A.3 Integral Versus Point Data: Information Content in a One-Dimensional Example.- A.4 Integral Versus Point Data: Estimation in a Time-Dependent One-Dimensional Example.- A.5 Discussion.- A.6 Appendix.- A.7 References.- Contributors.