- Publisher: Cambridge University Press
- Online publication date: May 2018
- Print publication year: 2014
- Online ISBN: 9781139839099
- DOI: https://doi.org/10.1017/CBO9781139839099
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This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to real-world applications. Students are introduced to the powerful foundations of modern signal processing, including the basic geometry of Hilbert space, the mathematics of Fourier transforms, and essentials of sampling, interpolation, approximation and compression The authors discuss real-world issues and hurdles to using these tools, and ways of adapting them to overcome problems of finiteness and localization, the limitations of uncertainty, and computational costs. It includes over 160 homework problems and over 220 worked examples, specifically designed to test and expand students' understanding of the fundamentals of signal processing, and is accompanied by extensive online materials designed to aid learning, including Mathematica® resources and interactive demonstrations.
Gil Strang - Massachusetts Institute of Technology
Rico Malvar - Microsoft Research
Robert D. Nowak - University of Wisconsin, Madison
Stéphane Mallat - École Normale Supérieure
Antonio Ortega - University of Southern California
Yoram Bresler - University of Illinois, Urbana-Champaign