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Python for Signal Processing Featuring IPython Notebooks
Python for Signal Processing
José Unpingco
Python for Signal Processing Featuring IPython Notebooks
123
José Unpingco San Diego, CA USA
ISBN 978-3-319-01341-1 ISBN 978-3-319-01342-8 (eBook) DOI 10.1007/978-3-319-01342-8 Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2013946655 © Springer International Publishing Switzerland 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
To Irene, Nicholas, and Daniella, for all their patient support.
Preface
This book will teach you the fundamentals of signal processing via the Python language and its powerful extensions for scientific computing. This is not a good first book in signal processing because we assume that you already had a course in signal processing at the undergraduate level. Furthermore, we also assume that you have some basic understanding of the Python language itself, perhaps through an online course (e.g., codeacademy.com). Having said that, this book is appropriate if you have a basic background in signal processing and want to learn how to use the scientific Python toolchain. On the other hand, if you are comfortable with Python, perhaps through working in another scientific field, then this book
