Sampling Theory
Overview
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.
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Details
- ISBN-13: 9781107003392
- ISBN-10: 1107003393
- Publisher: Cambridge University Press
- Publish Date: April 2015
- Dimensions: 9.8 x 6.6 x 1.6 inches
- Shipping Weight: 3.95 pounds
- Page Count: 836
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