Python for signal processing: featuring IPython notebooks

This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in...

Descripción completa

Detalles Bibliográficos
Autor principal: Unpingco, José
Lenguaje:eng
Publicado: Springer 2013
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-01342-8
http://cds.cern.ch/record/1625535
_version_ 1780933658253721600
author Unpingco, José
author_facet Unpingco, José
author_sort Unpingco, José
collection CERN
description This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to ""experiment and learn"" as they read. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remai
id cern-1625535
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Springer
record_format invenio
spelling cern-16255352021-04-21T21:41:58Zdoi:10.1007/978-3-319-01342-8http://cds.cern.ch/record/1625535engUnpingco, JoséPython for signal processing: featuring IPython notebooksEngineeringThis book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to ""experiment and learn"" as they read. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remaiThis book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to “experiment and learn” as they read. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remain unchanged into the foreseeable future.  For those looking to migrate their signal processing codes to Python, this book illustrates the key signal and plotting modules that can ease this transition. For those already comfortable with the scientific Python toolchain, this book illustrates the fundamental concepts in signal processing and provides a gateway to further signal processing concepts.  Springeroai:cds.cern.ch:16255352013
spellingShingle Engineering
Unpingco, José
Python for signal processing: featuring IPython notebooks
title Python for signal processing: featuring IPython notebooks
title_full Python for signal processing: featuring IPython notebooks
title_fullStr Python for signal processing: featuring IPython notebooks
title_full_unstemmed Python for signal processing: featuring IPython notebooks
title_short Python for signal processing: featuring IPython notebooks
title_sort python for signal processing: featuring ipython notebooks
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-01342-8
http://cds.cern.ch/record/1625535
work_keys_str_mv AT unpingcojose pythonforsignalprocessingfeaturingipythonnotebooks

Ejemplares similares