Python for Signal Processing | Featuring IPython Notebooks

José Unpingco

ISBN 10: 3319013416 / ISBN 13: 9783319013411

Published by Springer Nature Switzerland, 2013

About this Item

Python for Signal Processing | Featuring IPython Notebooks | José Unpingco | Buch | x | Englisch | 2013 | Springer Nature Switzerland | EAN 9783319013411 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 105683075

Bibliographic Details

• Title: Python for Signal Processing | Featuring IPython Notebooks
• Publisher: Springer Nature Switzerland
• Publication Date: 2013
• Language: English
• ISBN 10: 3319013416
• ISBN 13: 9783319013411
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 14D millimeters 241 millimeters width by 160 millimeters height by 14 millimeters depth
• Weight: 383 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

 

About the Author

Dr. José Unpingco is an onsite technical director for large-scale signal and image processing for the (USA) Department of Defense (DoD). He is also the lead scientific Python instructor for DoD labs nationwide.  He has worked in industry as an engineer, analyst, consultant, and instructor for his entire career, with deep experience in a wide array of signal and data processing technologies.