Sampling Theory : Beyond Bandlimited Systems /
Eldar, Yonina C.,
Sampling Theory : Beyond Bandlimited Systems / Yonina C. Eldar. - 1 online resource (836 pages) : digital, PDF file(s).
Title from publisher's bibliographic system (viewed on 07 Mar 2017).
Covering the fundamental mathematical underpinnings together with key principles and applications, this book provides a comprehensive guide to the theory and practice of sampling from an engineering perspective. Beginning with traditional ideas such as uniform sampling in shift-invariant spaces and working through to the more recent fields of compressed sensing and sub-Nyquist sampling, the key concepts are addressed in a unified and coherent way. Emphasis is given to applications in signal processing and communications, as well as hardware considerations, throughout. With 200 worked examples and over 200 end-of-chapter problems, this is an ideal course textbook for senior undergraduate and graduate students. It is also an invaluable reference or self-study guide for engineers and students across industry and academia.
9780511762321 (ebook)
Sampling (Statistics)
TK5102.9 / .E435 2014
621.382/23
Sampling Theory : Beyond Bandlimited Systems / Yonina C. Eldar. - 1 online resource (836 pages) : digital, PDF file(s).
Title from publisher's bibliographic system (viewed on 07 Mar 2017).
Covering the fundamental mathematical underpinnings together with key principles and applications, this book provides a comprehensive guide to the theory and practice of sampling from an engineering perspective. Beginning with traditional ideas such as uniform sampling in shift-invariant spaces and working through to the more recent fields of compressed sensing and sub-Nyquist sampling, the key concepts are addressed in a unified and coherent way. Emphasis is given to applications in signal processing and communications, as well as hardware considerations, throughout. With 200 worked examples and over 200 end-of-chapter problems, this is an ideal course textbook for senior undergraduate and graduate students. It is also an invaluable reference or self-study guide for engineers and students across industry and academia.
9780511762321 (ebook)
Sampling (Statistics)
TK5102.9 / .E435 2014
621.382/23