An Introduction to Random Vibrations, Spectral & Wavelet Analysis
eBook - ePub

An Introduction to Random Vibrations, Spectral & Wavelet Analysis

Third Edition

  1. 512 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

An Introduction to Random Vibrations, Spectral & Wavelet Analysis

Third Edition

About this book

One of the first engineering books to cover wavelet analysis, this classic text describes and illustrates basic theory, with a detailed explanation of the workings of discrete wavelet transforms. Computer algorithms are explained and supported by examples and a set of problems, and an appendix lists ten computer programs for calculating and displaying wavelet transforms.
Starting with an introduction to probability distributions and averages, the text examines joint probability distributions, ensemble averages, and correlation; Fourier analysis; spectral density and excitation response relations for linear systems; transmission of random vibration; statistics of narrow band processes; and accuracy of measurements. Discussions of digital spectral analysis cover discrete Fourier transforms as well as windows and smoothing. Additional topics include the fast Fourier transform; pseudo-random processes; multidimensional spectral analysis; response of continuous linear systems to stationary random excitation; and discrete wavelet analysis.
Numerous diagrams and graphs clarify the text, and complicated mathematics are simplified whenever possible. This volume is suitable for upper-level undergraduates and graduate students in engineering and the applied sciences; it is also an important resource for professionals.

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Yes, you can access An Introduction to Random Vibrations, Spectral & Wavelet Analysis by D. E. Newland in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Applied Sciences. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title Page
  2. Copyright Page
  3. Table of Contents
  4. Preface to the first edition
  5. Preface to the second edition
  6. Preface to the third edition
  7. Acknowledgements for the first edition
  8. Acknowledgements for the second edition
  9. Acknowledgements for the third edition
  10. List of symbols
  11. Chapter 1 - Introduction to probability distributions and averages
  12. Chapter 2 - Joint probability distributions, ensemble averages
  13. Chapter 3 - Correlation
  14. Chapter 4 - Fourier analysis
  15. Chapter 5 - Spectral density
  16. Chapter 6 - Excitation - response relations for linear systems
  17. Chapter 7 - Transmission of random vibration
  18. Chapter 8 - Statistics of narrow band processes
  19. Chapter 9 - Accuracy of measurements
  20. Chapter 10 - Digital spectral analysis I: Discrete Fourier transforms
  21. Chapter 11 - Digital spectral analysis II: Windows and smoothing
  22. Chapter 12 - The fast Fourier transform
  23. Chapter 13 - Pseudo random processes
  24. Chapter 14 - Application notes
  25. Chapter 15 - Multi -dimensional spectral analysis
  26. Chapter 16 - Response of continuous linear systems to stationary random excitation
  27. Chapter 17 - Discrete wavelet analysis
  28. Appendix 1 - Table of integrals used in the calculation of mean square response (Chapter 7)
  29. Appendix 2 - Computer programs
  30. Appendix 3 - The Gaussian probability integral
  31. Appendix 4 - Distribution of
  32. Appendix 5 - Random numbers
  33. Appendix 6 - Distribution of reverse arrangements for a random series
  34. Appendix 7 - Wavelet programs
  35. Problems
  36. Answers to problems
  37. References
  38. Index