Python for Signal Processing: Featuring IPython Notebooks

Python for Signal Processing: Featuring IPython Notebooks

by José Unpingco

Paperback(Softcover reprint of the original 1st ed. 2014)

$109.99
View All Available Formats & Editions
Eligible for FREE SHIPPING
  • Get it by Monday, September 24 , Order now and choose Expedited Shipping during checkout.

Overview

Python for Signal Processing: Featuring IPython Notebooks by José Unpingco

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.

Product Details

ISBN-13: 9783319343570
Publisher: Springer International Publishing
Publication date: 08/23/2016
Edition description: Softcover reprint of the original 1st ed. 2014
Pages: 128
Product dimensions: 6.10(w) x 9.25(h) x (d)

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.

Table of Contents

Introduction.- Sampling Theorem.- Discrete-Time Fourier Transform.- Introducing Spectral Analysis.- Finite Impulse Response Filters.

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews