Time Series Analysis and Inverse Theory for Geophysicists
eBook - PDF

Time Series Analysis and Inverse Theory for Geophysicists

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Time Series Analysis and Inverse Theory for Geophysicists

About this book

This unique textbook provides the foundation for understanding and applying techniques commonly used in geophysics to process and interpret modern digital data. The geophysicist's toolkit contains a range of techniques which may be divided into two main groups: processing, which concerns time series analysis and is used to separate the signal of interest from background noise; and inversion, which involves generating some map or physical model from the data. These two groups of techniques are normally taught separately, but are here presented together as parts I and II of the book. Part III describes some real applications and includes case studies in seismology, geomagnetism, and gravity. This textbook gives students and practitioners the theoretical background and practical experience, through case studies, computer examples and exercises, to understand and apply new processing methods to modern geophysical datasets. Solutions to the exercises are available on a website at http://publishing.cambridge.org/resources/0521819652

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Yes, you can access Time Series Analysis and Inverse Theory for Geophysicists by David Gubbins in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geophysics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Frontmatter
  3. Contents
  4. Preface
  5. Acknowledgements
  6. List of illustrations
  7. Introduction
  8. Processing
  9. Inversion
  10. Applications
  11. Appendix 1 Fourier series
  12. Appendix 2 The Fourier integral transform
  13. Appendix 3 Shannon's sampling theorem
  14. Appendix 4 Linear algebra
  15. Appendix 5 Vector spaces and the function space
  16. Appendix 6 Lagrange multipliers and penalty parameters
  17. Appendix 7 Files for the computer exercises
  18. References
  19. Index