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Python for Signal Processing - Featuring IPython Notebooks (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R3,202
Discovery Miles 32 020
Python for Signal Processing - Featuring IPython Notebooks (Paperback, Softcover reprint of the original 1st ed. 2014): Jose...

Python for Signal Processing - Featuring IPython Notebooks (Paperback, Softcover reprint of the original 1st ed. 2014)

Jose Unpingco

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Loot Price R3,202 Discovery Miles 32 020 | Repayment Terms: R300 pm x 12*

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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 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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: August 2016
First published: 2014
Authors: Jose Unpingco
Dimensions: 235 x 155 x 8mm (L x W x T)
Format: Paperback
Pages: 128
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-3-319-34357-0
Categories: Books > Computing & IT > Computer programming > Software engineering
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-319-34357-2
Barcode: 9783319343570

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