Authors:
- 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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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Leonding, Austria
Thomas Haslwanter
About the author
Bibliographic Information
Book Title: Hands-on Signal Analysis with Python
Book Subtitle: An Introduction
Authors: Thomas Haslwanter
DOI: https://doi.org/10.1007/978-3-030-57903-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-57902-9Published: 01 June 2021
Softcover ISBN: 978-3-030-57905-0Published: 02 June 2022
eBook ISBN: 978-3-030-57903-6Published: 31 May 2021
Edition Number: 1
Number of Pages: XVI, 267
Number of Illustrations: 50 b/w illustrations, 106 illustrations in colour
Topics: Signal, Image and Speech Processing, Communications Engineering, Networks, Computational Science and Engineering, Mathematical and Computational Engineering