Overview
- Unified approach to many classes of signal streamlines the process of learning and reduces the volume of repetitious material to be absorbed
- End-of-chapter exercises and illustrative examples in the text allow students to study privately and test their learning progressively Downloadable pdf solutions manual saves the teacher time
- Clear section labelling allows tutors to tailor material to advanced undergraduate or graduate levels of study
- Includes supplementary material: sn.pub/extras
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Table of contents (17 chapters)
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Introduction
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Classic Theory
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Specific Classes of Signals and Applications
About this book
Reviews
“Unified signal theory here refers to a development of operations on signals and systems … . The first part of the book is appropriate for an undergraduate level course in Fourier methods in engineering. The middle part containing the unified theory could be used as a hybrid course for mathematics and engineering students, and the last part provides an adequate background to understand techniques and applications in current literature.” (Joseph D. Lakey, Mathematical Reviews, May, 2015)
“The book, which is intended as a textbook for technical and scientific faculties, not necessarily mathematical ones, is at a graduate level, but can be of interest for mathematicians interested in signal theory. … the present volume represents a true treatise in signal theory containing many original ideas. It is surely an excellent scientific work.” (Dumitru Stanomir, Zentralblatt MATH, Vol. 1226, 2012)Authors and Affiliations
About the author
Bibliographic Information
Book Title: Unified Signal Theory
Authors: Gianfranco Cariolaro
DOI: https://doi.org/10.1007/978-0-85729-464-7
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-0-85729-463-0Published: 28 April 2011
Softcover ISBN: 978-1-4471-6920-8Published: 04 May 2017
eBook ISBN: 978-0-85729-464-7Published: 23 April 2011
Edition Number: 1
Number of Pages: XX, 928
Topics: Signal, Image and Speech Processing, Fourier Analysis, Image Processing and Computer Vision, Communications Engineering, Networks, Control and Systems Theory