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100%: T. J. Ulrych, M. D. Sacchi: Information-Based Inversion and Processing with Applications: 36 (Handbook of Geophysical Exploration: Seismic Exploration) (ISBN: 9780080461342) 2005, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
42%: Ulrych, Tadeusz J, and Sacchi, Mauricio D: Information-Based Inversion Processing with Applications, Volume 36 (Handbook of Geophysical Exploration: Seismic Exploration) (ISBN: 9780080447216) Elsevier Science & Technology, Amsterdam, in Englisch.Nur diese Ausgabe anzeigen…
Information-Based Inversion and Processing with Applications: 36 (Handbook of Geophysical Exploration: Seismic Exploration)
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Information-Based Inversion and Processing with Applications
EN HC NWISBN: 9780080447216 bzw. 008044721X, in Englisch, Elsevier Science & Technology, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: USA.
Von Händler/Antiquariat, BuySomeBooks.
Elsevier Science & Technology. Hardcover. New. Hardcover. 436 pages. Dimensions: 9.4in. x 6.7in. x 1.0in.This book examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burgs maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various entropy type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations. Non-conventional approaches to data processing and inversion are presented Important problems in the area of seismic resolution enhancement are discussed Contains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Von Händler/Antiquariat, BuySomeBooks.
Elsevier Science & Technology. Hardcover. New. Hardcover. 436 pages. Dimensions: 9.4in. x 6.7in. x 1.0in.This book examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burgs maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various entropy type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations. Non-conventional approaches to data processing and inversion are presented Important problems in the area of seismic resolution enhancement are discussed Contains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
2
Information-Based Inversion and Processing with Applications
EN NW EB DLISBN: 9780080461342 bzw. 0080461344, in Englisch, Elsevier Science, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Despatched same working day before 3pm.
This book examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg's maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various 'entropy' type norms. Finally, Chapter 7 introduces recent topics of interest to the authors.The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations.* Non-conventional approaches to data processing and inversion are presented * Important problems in the area of seismic resolution enhancement are discussed* Contains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing.
This book examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg's maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various 'entropy' type norms. Finally, Chapter 7 introduces recent topics of interest to the authors.The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations.* Non-conventional approaches to data processing and inversion are presented * Important problems in the area of seismic resolution enhancement are discussed* Contains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing.
3
Information-Based Inversion and Processing with Applications
EN NWISBN: 9780080461342 bzw. 0080461344, in Englisch, Elsevier Science, neu.
Lieferung aus: Deutschland, Бесплатан транспорт.
Information-Based Inversion and Processing with Applications: Information-Based Inversion and Processing with Applications examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg`s maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various `entropy` type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations.Non-conventional approaches to data processing and inversion are presentedImportant problems in the area of seismic resolution enhancement are discussedContains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing, Englisch, Ebook.
Information-Based Inversion and Processing with Applications: Information-Based Inversion and Processing with Applications examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg`s maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various `entropy` type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations.Non-conventional approaches to data processing and inversion are presentedImportant problems in the area of seismic resolution enhancement are discussedContains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing, Englisch, Ebook.
4
Information-Based Inversion and Processing with Applications (2005)
EN HC NWISBN: 9780080447216 bzw. 008044721X, in Englisch, Elsevier Science &Amp; Technology, gebundenes Buch, neu.
Lieferung aus: Niederlande, 12 werkdagen.
bol.com.
This book examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to W..., This book examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg's maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various 'entropy' type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations. * Non-conventional approaches to data processing and inversion are presented * Important problems in the area of seismic resolution enhancement are discussed * Contains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing Taal: Engels;Oorspronkelijke titel: Information-Based Inversion and Processing with Applications;Afmetingen: 0x0x0 mm;Gewicht: 921,00 gram;Verschijningsdatum: december 2005;ISBN10: 008044721X;ISBN13: 9780080447216; Engelstalig | Hardcover | 2005.
bol.com.
This book examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to W..., This book examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg's maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various 'entropy' type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations. * Non-conventional approaches to data processing and inversion are presented * Important problems in the area of seismic resolution enhancement are discussed * Contains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing Taal: Engels;Oorspronkelijke titel: Information-Based Inversion and Processing with Applications;Afmetingen: 0x0x0 mm;Gewicht: 921,00 gram;Verschijningsdatum: december 2005;ISBN10: 008044721X;ISBN13: 9780080447216; Engelstalig | Hardcover | 2005.
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Information-Based Inversion and Processing with Applications: 36 (Handbook of Geophysical Exploration: Seismic Exploration) (2005)
EN NW EB DLISBN: 9780080461342 bzw. 0080461344, in Englisch, 436 Seiten, Elsevier Science, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, ебоок за преузимање, Бесплатан транспорт.
Information-Based Inversion and Processing with Applications examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg's maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various 'entropy' type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations.Non-conventional approaches to data processing and inversion are presentedImportant problems in the area of seismic resolution enhancement are discussedContains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing, Kindle Edition, Обликовање: Kindle eBook, Ознака: Elsevier Science, Elsevier Science, Групе производа: eBooks, Објавио: 2005-12-16, Датум издавања: 2005-12-16, Студио: Elsevier Science, Продаје ранг: 4420111.
Information-Based Inversion and Processing with Applications examines different classical and modern aspects of geophysical data processing and inversion with emphasis on the processing of seismic records in applied seismology. Chapter 1 introduces basic concepts including: probability theory (expectation operator and ensemble statistics), elementary principles of parameter estimation, Fourier and z-transform essentials, and issues of orthogonality. In Chapter 2, the linear treatment of time series is provided. Particular attention is paid to Wold decomposition theorem and time series models (AR, MA, and ARMA) and their connection to seismic data analysis problems. Chapter 3 introduces concepts of Information theory and contains a synopsis of those topics that are used throughout the book. Examples are entropy, conditional entropy, Burg's maximum entropy spectral estimator, and mutual information. Chapter 4 provides a description of inverse problems first from a deterministic point of view, then from a probabilistic one. Chapter 5 deals with methods to improve the signal-to-noise ratio of seismic records. Concepts from previous chapters are put in practice for designing prediction error filters for noise attenuation and high-resolution Radon operators. Chapter 6 deals with the topic of deconvolution and the inversion of acoustic impedance. The first part discusses band-limited extrapolation assuming a known wavelet and considers the issue of wavelet estimation. The second part deals with sparse deconvolution using various 'entropy' type norms. Finally, Chapter 7 introduces recent topics of interest to the authors. The emphasis of this book is on applied seismology but researchers in the area of global seismology, and geophysical signal processing and inversion will find material that is relevant to the ubiquitous problem of estimating complex models from a limited number of noisy observations.Non-conventional approaches to data processing and inversion are presentedImportant problems in the area of seismic resolution enhancement are discussedContains research material that could inspire graduate students and their supervisors to undertake new research directions in applied seismology and geophysical signal processing, Kindle Edition, Обликовање: Kindle eBook, Ознака: Elsevier Science, Elsevier Science, Групе производа: eBooks, Објавио: 2005-12-16, Датум издавања: 2005-12-16, Студио: Elsevier Science, Продаје ранг: 4420111.
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Information-Based Inversion and Processing with Applications als eBook von T.J. Ulrych, M.D. Sacchi
EN NW EB DLISBN: 9780080461342 bzw. 0080461344, in Englisch, Pergamon; Pergamon Press, Vereinigte Staaten von Amerika, neu, E-Book, elektronischer Download.
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Information-Based Inversion Processing with Applications (2006)
EN HC NWISBN: 9780080447216 bzw. 008044721X, in Englisch, Elsevier Science & Technology, Amsterdam, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Verandgebiet: DOM.
Von Händler/Antiquariat, BuySomeBooks, NV, Las Vegas, [RE:4].
Hard cover.
Von Händler/Antiquariat, BuySomeBooks, NV, Las Vegas, [RE:4].
Hard cover.
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Information-Based Inversion and Processing with Applications
EN NW EBISBN: 9780080461342 bzw. 0080461344, in Englisch, Elsevier Science, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, На лагеру.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Information-Based Inversion and Processing With Applications (2005)
EN HC NWISBN: 9780080447216 bzw. 008044721X, in Englisch, Elsevier Science, gebundenes Buch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, zzgl. Versandkosten, Verandgebiet: EUR.
Von Händler/Antiquariat, Herb Tandree Philosophy Books, Stroud, Glos, [RE:4].
Hardback.
Von Händler/Antiquariat, Herb Tandree Philosophy Books, Stroud, Glos, [RE:4].
Hardback.
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Information-Based Inversion and Processing With Applications (2012)
EN PB NWISBN: 9780080447216 bzw. 008044721X, in Englisch, Elsevier Science, Taschenbuch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, zzgl. Versandkosten, Verandgebiet: EUR.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover.
Von Händler/Antiquariat, Paperbackshop International, GLOS, Fairford, [RE:4].
Softcover.
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