Analog and Digital Signal Analysis

From Basics to Applications

  • Frédéric Cohen Tenoudji

Part of the Modern Acoustics and Signal Processing book series (MASP)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Frédéric Cohen Tenoudji
    Pages 1-10
  3. Frédéric Cohen Tenoudji
    Pages 11-34
  4. Frédéric Cohen Tenoudji
    Pages 35-57
  5. Frédéric Cohen Tenoudji
    Pages 59-75
  6. Frédéric Cohen Tenoudji
    Pages 77-92
  7. Frédéric Cohen Tenoudji
    Pages 93-110
  8. Frédéric Cohen Tenoudji
    Pages 111-136
  9. Frédéric Cohen Tenoudji
    Pages 137-148
  10. Frédéric Cohen Tenoudji
    Pages 149-158
  11. Frédéric Cohen Tenoudji
    Pages 159-175
  12. Frédéric Cohen Tenoudji
    Pages 177-205
  13. Frédéric Cohen Tenoudji
    Pages 207-226
  14. Frédéric Cohen Tenoudji
    Pages 227-234
  15. Frédéric Cohen Tenoudji
    Pages 235-251
  16. Frédéric Cohen Tenoudji
    Pages 253-262
  17. Frédéric Cohen Tenoudji
    Pages 263-289
  18. Frédéric Cohen Tenoudji
    Pages 291-320
  19. Frédéric Cohen Tenoudji
    Pages 321-335
  20. Frédéric Cohen Tenoudji
    Pages 337-373

About this book


This book provides comprehensive, graduate-level treatment of analog and digital signal analysis suitable for course use and self-guided learning. This expert text guides the reader from the basics of signal theory through a range of application tools for use in acoustic analysis, geophysics, and data compression. Each concept is introduced and explained step by step, and the necessary mathematical formulae are integrated in an accessible and intuitive way. The first part of the book explores how analog systems and signals form the basics of signal analysis. This section covers Fourier series and integral transforms of analog signals, Laplace and Hilbert transforms, the main analog filter classes, and signal modulations. Part II covers digital signals, demonstrating their key advantages. It presents z and Fourier transforms, digital filtering, inverse filters, deconvolution, and parametric modeling for deterministic signals. Wavelet decomposition and reconstruction of non-stationary signals are also discussed. The third part of the book is devoted to random signals, including spectral estimation, parametric modeling, and Tikhonov regularization. It covers statistics of one and two random variables and the principles and methods of spectral analysis. Estimation of signal properties is discussed in the context of ergodicity conditions and parameter estimations, including the use of Wiener and Kalman filters. Two appendices cover the basics of integration in the complex plane and linear algebra. A third appendix presents a basic Matlab toolkit for computer signal analysis. This expert text provides both a solid theoretical understanding and tools for real-world applications.

  • Presents the core principles of analog and digital signal analysis
  • Discusses applications to geophysics, acoustic analysis, and data compression
  • Features worked examples, problem sets, and extensive appendices


Acoustic Analysis Analog and Digital Signal Analysis Analog and Digital Signal Analysis Graduate Text Arma Systems Autoregressive Systems Data Compression Deterministic Signals Ergodicity Conditions Estimation Theory Multiresolution Analysis Parametric Modeling Random Signals Signal Theory Spectral Analysis Spectral Estimation Wiener and Kalman Filtering

Authors and affiliations

  • Frédéric Cohen Tenoudji
    • 1
  1. 1.UPMC UniversityNeuilly sur SeineFrance

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-319-42380-7
  • Online ISBN 978-3-319-42382-1
  • Series Print ISSN 2364-4915
  • Series Online ISSN 2364-4923
  • About this book
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