Skip to main content
SpringerLink
Log in

Digital Signal Processing and Spectral Analysis for Scientists

Concepts and Applications

  • Textbook
  • © 2016

Overview

Authors:
  1. Silvia Maria Alessio

    1. Physics, University of Turin, Turin, Italy

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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
  • Includes supplementary material: sn.pub/extras

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (16 chapters)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Introduction

    • Silvia Maria Alessio
    Pages 1-19

  3. Basic Theoretical Concepts

    1. Front Matter

      Pages 21-21
      Download chapter PDF

    2. Discrete-Time Signals and Systems

      • Silvia Maria Alessio
      Pages 23-53

    3. Transforms of Discrete-Time Signals

      • Silvia Maria Alessio
      Pages 55-132

    4. Sampling of Continuous-Time Signals

      • Silvia Maria Alessio
      Pages 133-152

    5. Spectral Analysis of Deterministic Discrete-Time Signals

      • Silvia Maria Alessio
      Pages 153-182

  4. Digital Filters

    1. Front Matter

      Pages 183-183
      Download chapter PDF

    2. Digital Filter Properties and Filtering Implementation

      • Silvia Maria Alessio
      Pages 185-221

    3. FIR Filter Design

      • Silvia Maria Alessio
      Pages 223-262

    4. IIR Filter Design

      • Silvia Maria Alessio
      Pages 263-367

  5. Spectral Analysis

    1. Front Matter

      Pages 369-369
      Download chapter PDF

    2. Statistical Approach to Signal Analysis

      • Silvia Maria Alessio
      Pages 371-401

    3. Non-Parametric Spectral Methods

      • Silvia Maria Alessio
      Pages 403-464

    4. Parametric Spectral Methods

      • Silvia Maria Alessio
      Pages 465-535

    5. Singular Spectrum Analysis (SSA)

      • Silvia Maria Alessio
      Pages 537-571

    6. Non-stationary Spectral Analysis

      • Silvia Maria Alessio
      Pages 573-642

  6. Signal Decomposition, De-noising and Compression

    1. Front Matter

      Pages 643-643
      Download chapter PDF

    2. Discrete Wavelet Transform (DWT)

      • Silvia Maria Alessio
      Pages 645-714

    3. De-noising and Compression by Wavelets

      • Silvia Maria Alessio
      Pages 715-742
Back to top

Keywords

About this book

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.

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)

Authors and Affiliations

  • Physics, University of Turin, Turin, Italy

    Silvia Maria Alessio

About the author

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

Publish with us

Policies and ethics

Back to top

Search

Navigation