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Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging - including compressed sensing, wavelets and optimization - in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the pitfalls of these latest approaches.
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Seismic reflection method. --- Seismic reflection method --- Seismic profiling --- Deconvolution.
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Shear waves --- Seismic prospecting --- Ondes de cisaillement. --- Prospection sismique. --- Vertical seismic profiling --- Profil sismique vertical. --- Seismic reflection method --- Méthode sismique-réflexion --- Deconvolution. --- Déconvolution. --- Deconvolution --- Seismology --- Sismologie --- Seismic prospecting. --- Prospection sismique --- Mathematics. --- Mathématiques
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Theoretical spectroscopy. Spectroscopic techniques --- fysicochemie --- Absorption spectra --- -535 --- Selective absorption --- Exciton theory --- Molecular spectroscopy --- Spectrum analysis --- Deconvolution --- Optics --- 535 Optics --- 535 --- Deconvolution of absorption spectra
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Deconvolution of Geophysical Time Series in the Exploration for Oil and Natural Gas
Seismic reflection method --- Petroleum --- Time-series analysis --- Natural gas --- Deconvolution --- Time-series analysis. --- Petroleum. --- Natural gas. --- Gas, Natural --- Sour gas --- Gases, Asphyxiating and poisonous --- Hydrocarbons --- Coal-oil --- Crude oil --- Oil --- Caustobioliths --- Mineral oils --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Deconvolution in seismic reflection --- Deconvolution. --- Data processing --- Pétrole --- Gaz naturel --- Prospection. --- Prospecting --- Géologie. --- Geology --- Prospection --- Géologie --- Seismic reflection method - Deconvolution
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Spectrum Analysis --- Spectrum analysis --- -Analysis, Spectrum --- Spectra --- Spectrochemical analysis --- Spectrochemistry --- Spectroscopy --- Chemistry, Analytic --- Interferometry --- Optics --- Radiation --- Wave-motion, Theory of --- Absorption spectra --- Light --- Spectroscope --- methods. --- Deconvolution --- Qualitative --- Theoretical spectroscopy. Spectroscopic techniques --- fysicochemie --- Harmonic analysis. Fourier analysis --- Information systems --- Deconvolution in spectrum analysis --- methods --- Analyse spectrale --- Spectrum analysis - Deconvolution --- Spectrum Analysis - methods --- SPECTRUM ANALYSIS --- DECONVOLUTION
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Seismic prospecting --- Seismic reflection method --- Data processing. --- Deconvolution. --- Gulf of Mexico.
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This book describes the theory and practice of inverting seismic data for the subsurface rock properties of the earth. The primary application is for inverting reflection and/or transmission data from engineering or exploration surveys, but the methods described also can be used for earthquake studies. This book is written for scientists and advanced students in engineering, earth sciences, and physics. The reader should have some familiarity with certain aspects of numerical computation, such as finite-difference solutions to partial differential equations, numerical linear algebra, and the basic physics of wave propagation (e.g., Snell's law and ray tracing). For those not familiar with the terminology and methods of seismic exploration, a brief introduction is provided in the Appendix of Chapter 1. Computational labs are provided for most of the chapters, and some field data labs are given as well. Matlab and Fortran labs at the end of some chapters are used to deepen the reader's understanding of the concepts and their implementation. Such exercises are introduced early and geophysical applications are presented in every chapter. For the non-geophysicist, geophysical concepts are introduced with intuitive arguments, and their description by rigorous theory is deferred to later chapters.--
Seismic traveltime inversion. --- Seismic reflection method --- Seismic tomography. --- Inversion (Geophysics) --- Seismology --- Deconvolution. --- Mathematics.
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Elastic waves. --- Ondes élastiques. --- Soleil --- Convection (astrophysique) --- Microscopie electronique --- Deconvolution --- Activite --- Technique
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