Foundations of Signal Processing

Nonfiction, Science & Nature, Technology, Engineering, Computers, General Computing
Cover of the book Foundations of Signal Processing by Martin Vetterli, Jelena Kovačević, Vivek K Goyal, Cambridge University Press
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Author: Martin Vetterli, Jelena Kovačević, Vivek K Goyal ISBN: 9781139904889
Publisher: Cambridge University Press Publication: September 4, 2014
Imprint: Cambridge University Press Language: English
Author: Martin Vetterli, Jelena Kovačević, Vivek K Goyal
ISBN: 9781139904889
Publisher: Cambridge University Press
Publication: September 4, 2014
Imprint: Cambridge University Press
Language: English

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.

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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.

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