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© 2016

Digital Signal Processing and Spectral Analysis for Scientists

Concepts and Applications

Benefits

  • Takes digital signal processing beyond the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines

  • Emphasizes results and their practical implications rather than calculations and formal demonstrations

  • Features more than 350 figures illustrating in detail the various aspects of the methods

Textbook

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Silvia Maria Alessio
    Pages 1-19
  3. Basic Theoretical Concepts

    1. Front Matter
      Pages 21-21
    2. Silvia Maria Alessio
      Pages 23-53
    3. Silvia Maria Alessio
      Pages 55-132
    4. Silvia Maria Alessio
      Pages 133-152
  4. Digital Filters

    1. Front Matter
      Pages 183-183
    2. Silvia Maria Alessio
      Pages 185-221
    3. Silvia Maria Alessio
      Pages 223-262
    4. Silvia Maria Alessio
      Pages 263-367
  5. Spectral Analysis

    1. Front Matter
      Pages 369-369
    2. Silvia Maria Alessio
      Pages 371-401
    3. Silvia Maria Alessio
      Pages 403-464
    4. Silvia Maria Alessio
      Pages 465-535
    5. Silvia Maria Alessio
      Pages 537-571
    6. Silvia Maria Alessio
      Pages 573-642
  6. Signal Decomposition, De-noising and Compression

    1. Front Matter
      Pages 643-643
    2. Silvia Maria Alessio
      Pages 645-714
    3. Silvia Maria Alessio
      Pages 715-742

About this book

Introduction

This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.

Keywords

Digital Filters Digital Signal Processing Discrete-time Signals Evolutionary Spectral Analysis Stationary Spectral Analysis Time Series Analysis

Authors and affiliations

  1. 1.PhysicsUniversity of TurinTurinItaly

About the authors

Silvia Maria Alessio is Assistant Professor of Digital Signal Processing and Physics of the Atmosphere at University of Torino, Italy. Her research focuses mainly on geophysics, more precisely the physics of atmosphere and of environmental, climatic and paleo-climatic problems.

Bibliographic information

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Reviews

“It is intended for scientists and engineers, practitioners as well as students, who are interested in the practical application of methods, and less interested in the mathematical and theoretical background. … It is a marvelous and very practical book with an awful lot of information.” (A. Bultheel, Mathematical Reviews, August, 2016)