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Hands-on Signal Analysis with Python

Name: Hands-on Signal Analysis with Python
Brand: Springer Nature Switzerland AG
SKU: 9783030579029
Price: 473.87 RON
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An Introduction

Autor: Thomas Haslwanter

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Editura: Springer Nature Switzerland AG

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473.87 lei

This book provides the tools for analyzing data in Python: different types of filters are introduced...

Informații despre carte

Autor

Thomas Haslwanter

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2021

Pagini

267

EAN

9783030579029

ISBN

3030579026

Enbook ID

38380841

Editura

Springer Nature Switzerland AG

Greutate

932

Dimensiuni

210 x 279 x 286

Descriere completă

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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Hands-on Signal Analysis with Python

An Introduction

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