Overview
- Written to be accessible to students of varying backgrounds, this textbook explains digital signal processing from both a theoretical and practical point of view
- Presents concepts in a clear, concise and comprehensive manner, so that students can learn easily this highly mathematical topic
- Provides detailed coverage of various types of filter design, including an introduction to the discrete wavelet transform
- Includes worked examples throughout every chapter, with an emphasis on real applications
- Includes numerous exercises at the end of each chapter
- Provides Matlab programs for FIR filter design, as supplementary material online
- Request lecturer material: sn.pub/lecturer-material
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise, highly readable, and yet provides comprehensive coverage of the topic. Each new topic is presented with examples and figures. The highly mathematical content of the topic is presented lucidly to make the learning the subject easier. Practical aspects of the subject are clearly indicated so that the student can apply the principles in real applications. Matlab programs for FIR filter design are provided as supplementary material online.
Authors and Affiliations
About the author
Dr. D. Sundararajan was a former Professor at Concordia University, Montreal, Canada. As the principal inventor of the latest family of DFT algorithms, he has written seven books, three Patents, and several papers in IEEE Transactions and in the Proceedings of IEEE Conferences.
Bibliographic Information
Book Title: Digital Signal Processing
Book Subtitle: An Introduction
Authors: Dr. D. Sundararajan
DOI: https://doi.org/10.1007/978-3-030-62368-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-62367-8Published: 30 January 2021
Softcover ISBN: 978-3-030-62370-8Published: 30 January 2022
eBook ISBN: 978-3-030-62368-5Published: 29 January 2021
Edition Number: 1
Number of Pages: XIII, 399
Number of Illustrations: 155 b/w illustrations
Topics: Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics