Articles liés à Hands-on Signal Analysis With Python: An Introduction
Synopsis
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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À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer Nature Switzerland AG
- Date d'édition2021
- ISBN 10 3030579026
- ISBN 13 9783030579029
- ReliureRelié
- Langueanglais
- Nombre de pages267
- Coordonnées du fabricantnon disponible
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Hands-On Signal Analysis with Python: An Introduction
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 process. N° de réf. du vendeur 458549549
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Hands-on Signal Analysis with Python - An Introduction
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ISBN 13 : 9783030579029
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gebundene Ausgabe. Etat : Sehr gut. 267 Seiten 1st ed. 2021 - Text Englisch -Leichte äußere Mängel - Buch ansonsten in sehr gutem und ungelesenem Zustand - Jeder Lieferung liegt eine ordentliche Rechnung mit ausgewiesener MwSt. bei Sprache: Englisch Gewicht in Gramm: 1010. N° de réf. du vendeur 327837
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Hands-on Signal Analysis with Python
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 not Elektronisches Buch provide additional help to get people started and outlooks for the interested reader. 267 pp. Englisch. N° de réf. du vendeur 9783030579029
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Hands-on Signal Analysis with Python : An Introduction
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Springer, Berlin, Springer International Publishing, Springer, 2021
ISBN 10 : 3030579026
ISBN 13 : 9783030579029
Neuf
Couverture rigide
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 not Elektronisches Buch provide additional help to get people started and outlooks for the interested reader. N° de réf. du vendeur 9783030579029
Quantité disponible : 2 disponible(s)