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{ "item_title" : "Sampling Theory", "item_author" : [" Yonina C. Eldar "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/10/700/339/1107003393_b.jpg", "price_data" : { "retail_price" : "120.00", "online_price" : "120.00", "our_price" : "120.00", "club_price" : "120.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Sampling Theory|Yonina C. Eldar

Sampling Theory

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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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