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Hands-on Signal Analysis with Python

- An Introduction
Af: Thomas Haslwanter Engelsk Paperback

Hands-on Signal Analysis with Python

- An Introduction
Af: Thomas Haslwanter Engelsk Paperback
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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.


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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.


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Produktdetaljer
Sprog: Engelsk
Sider: 267
ISBN-13: 9783030579050
Indbinding: Paperback
Udgave:
ISBN-10: 3030579050
Kategori: Billedbehandling: systemer og teknologi
Udg. Dato: 2 jun 2022
Længde: 25mm
Bredde: 278mm
Højde: 208mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 2 jun 2022
Forfatter(e): Thomas Haslwanter
Forfatter(e) Thomas Haslwanter

Kategori Billedbehandling: systemer og teknologi

ISBN-13 9783030579050

Sprog Engelsk

Indbinding Paperback

Sider 267

Udgave

Længde 25mm

Bredde 278mm

Højde 208mm

Udg. Dato 2 jun 2022

Oplagsdato 2 jun 2022

Forlag Springer Nature Switzerland AG

Kategori sammenhænge