Foundations of Signal Processing
by: Martin Vetterli (Author),Jelena Kovacevic(Author),Vivek K. Goyal(Author)&0more
Publisher: Cambridge University Press
Edition: 3rd ed.
Publication Date: 2014/10/20
Language: English
Print Length: 738 pages
ISBN-10: 110703860X
ISBN-13: 9781107038608
Book Description
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 mode 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 leaing, including Mathematica® resources and interactive demonstrations.
About the Author
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 mode 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 leaing, including Mathematica® resources and interactive demonstrations.
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