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. Provides a comprehensive review of linear algebra, Fourier analysis and prominent signal classes figuring in the context of sampling Includes coverage of sampling with subspace or smoothness priors, including nonlinear sampling and sample rate conversion Discusses sampling over unions of subspaces, including a detailed introduction to the field of compressed sensing and the theory and applications of sub-Nyquist sampling
- ISBN: 9781107003392
- Editorial: CAMBRIDGE UNIVERSITY PRESS
- Encuadernacion: Tela
- Páginas: 836
- Fecha Publicación: 01/04/2015
- Nº Volúmenes: 1
- Idioma: