Exploration seismology uses seismic imaging to form detailed images of the Earth's interior, enabling the location of likely petroleum targets. Due to the size of seismic datasets, sophisticated numerical algorithms are required. This book provides a technical guide to the essential algorithms and computational aspects of data processing, covering the theory and methods of seismic imaging. The first part introduces an extensive online library of MATLAB® seismic data processing codes maintained by the CREWES project at the University of Calgary. Later chapters then focus on digital signal theory and relevant aspects of wave propagation and seismic modelling, followed by deconvolution and seismic migration methods. Presenting a rigorous explanation of how to construct seismic images, it provides readers with practical tools and codes to pursue research projects and analyses. It is ideal for advanced students and researchers in applied geophysics, and for practicing exploration geoscientists in the oil and gas industry.
Exploration seismology uses seismic imaging to form detailed images of the Earth's interior, enabling the location of likely petroleum targets. Due to the size of seismic datasets, sophisticated numerical algorithms are required. This book provides a technical guide to the essential algorithms and computational aspects of data processing, covering the theory and methods of seismic imaging. The first part introduces an extensive online library of MATLAB® seismic data processing codes maintained by the CREWES project at the University of Calgary. Later chapters then focus on digital signal theory and relevant aspects of wave propagation and seismic modelling, followed by deconvolution and seismic migration methods. Presenting a rigorous explanation of how to construct seismic images, it provides readers with practical tools and codes to pursue research projects and analyses. It is ideal for advanced students and researchers in applied geophysics, and for practicing exploration geoscientists in the oil and gas industry.
Pseudo-differential operators were initiated by Kohn, Nirenberg and Hörmander in the sixties of the last century. Beside applications in the general theory of partial differential equations, they have their roots also in the study of quantization first envisaged by Hermann Weyl thirty years earlier. Thanks to the understanding of the connections of wavelets with other branches of mathematical analysis, quantum physics and engineering, such operators have been used under different names as mathematical models in signal analysis since the last decade of the last century. The volume investigates the mathematics of quantization and signals in the context of pseudo-differential operators, Weyl transforms, Daubechies operators, Wick quantization and time-frequency localization operators. Applications to quantization, signal analysis and the modern theory of PDE are highlighted.
This is the first edition of ten Funeral Orations of Michael Psellos based on all the manuscripts preserving those works and accompanied by a full apparatus fontium and the necessary critical apparatus. Some of those texts had been published by the Greek scholar Konstantinos Sathas at the end of the XIX c. Those editions hardly correspond to the contemporary standards. The same applies to several more recent editions, prepared by P. Gautier, which also leave much to be desired. The most important texts of our collection are the funeral orations for the patriarchs Michael Keroullarios, Konstantinos Leichoudes and John Xiphilinos, a personal friend of Michael Psellos. All the texts offer valuable details concerning Psellos’s early life; at the same time they constitute an important testimony to the survival of the Late Antique Rhetoric in XI c. Byzantium. They constitute a necessary supplement to Psellos’s more famous work, his Chronography, verifying and shedding a new light on the events narrated there.
Biosensor technology has rapidly expanded into a wide variety of applications in the last few years. Such fields include clinical diagnostics, environmental chemistry, drug discovery and pathogen detection, to name but a few. The structure of these sensors is based on the intimate combination of a biological entity with a transducer capable of generating an electrical signal to provide information on the biological system being studied. Until now there has been a limited treatment of the study of whole cells (as a biological component) due to the difficulty in connecting transducers to cell populations. This book focuses on several aspects of neural behaviour both in vitro and in vivo, and for the first time, the detection of populations of neurons (rather than single cells) will be presented. The fundamental behaviour and characterization of neurons on various substrates, using a variety of electronic devices such as transistors and microelectrode arrays will be discussed. Future perspectives discussed in the book include artificial intelligence using biological neural networks and nanoneuromedicine. The authors have considerable experience in biosensor technology, and have pioneered the study of neural populations using biosensors in collaboration with neurophysiologists and neuroendrocrinologists. This book will be invaluable to university neuroscience and analytical chemistry departments and students, academics and physicians will benefit from its accessible style and format.
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