دانلود کتاب Sampling theory. Beyond bandlimited systems

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. The book is divided into three main sections: first is a comprehensive review of linear algebra, Fourier analysis, and prominent signal classes figuring in the context of sampling, followed by coverage of sampling with subspace or smoothness priors, including nonlinear sampling and sample rate conversion. Finally, sampling over union of subspaces is discussed, including a detailed introduction to the field of compressed sensing and the theory and applications of sub-Nyquist sampling. With 200 worked examples and over 250 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.