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Hands-on Signal Analysis with Python

An Introduction

Authors: Haslwanter, Thomas

  • Excellent, understandable and motivating textbook and a good starting point for the practical signal processing with Python 
  • Provides the readers with a toolbox that allows them to solve most practical tasks that come up in signal processing
  • A hands-on Signal Analysis with Python
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Buy this book

eBook 85,59 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: January 31, 2021
  • ISBN 978-3-030-57903-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 103,99 €
price for Spain (gross)
About this Textbook

This book provides the tools for analyzing data in Python: different types of filters are introduced and explained, such as FIR-, IIR- and morphological filters, as well as their application to one- and two-dimensional data. The required mathematics are kept to a minimum, and numerous examples and working Python programs are included for a quick start. The goal of the book is to enable also novice users to choose appropriate methods and to complete real-world tasks such as differentiation, integration, and smoothing of time series, or simple edge detection in images. An introductory section provides help and tips for getting Python installed and configured on your computer. More advanced chapters provide a practical introduction to the Fourier transform and its applications such as sound processing, as well as to the solution of equations of motion with the Laplace transform. A brief excursion into machine learning shows the powerful tools that are available with Python. This book also provides tips for an efficient programming work flow: from the use of a debugger for finding mistakes, code-versioning with git to avoid the loss of working programs, to the construction of graphical user interfaces (GUIs) for the visualization of data. Working, well-documented Python solutions are included for all exercises, and IPython/Jupyter notebooks provide additional help to get people started and outlooks for the interested reader.


About the authors

Thomas Haslwanter is a Professor at the Department of Medical Engineering of the University of Applied Sciences Upper Austria in Linz, and lecturer at the ETH Zurich in Switzerland. He also worked as a researcher at the University of Sydney, Australia and the University of Tuebingen, Germany. He has extensive experience in medical research, with a focus on the diagnosis and treatment of vertigo and dizziness and on rehabilitation. After 15 years of extensive use of Matlab, he discovered Python, which he now uses for statistical data analysis, sound and image processing, and for biological simulation applications. He has been teaching in an academic environment for more than 10 years.

Buy this book

eBook 85,59 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: January 31, 2021
  • ISBN 978-3-030-57903-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 103,99 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Hands-on Signal Analysis with Python
Book Subtitle
An Introduction
Authors
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-57903-6
DOI
10.1007/978-3-030-57903-6
Hardcover ISBN
978-3-030-57902-9
Edition Number
1
Number of Pages
XII, 273
Number of Illustrations
42 b/w illustrations, 97 illustrations in colour
Topics