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{ "item_title" : "Compressed Sensing in Li-Fi and Wi-Fi Networks", "item_author" : [" Malek Benslama", "Hatem Mokhtari "], "item_description" : "Compressed Sensing in Li-Fi and Wi-Fi Networks features coverage of the first applications in optical telecommunications and wireless. After extensive development of basic theory, many techniques are presented, such as non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models. The book can be used as a comprehensive manual for teaching and research in courses covering advanced signal processing, efficient data processing algorithms, and telecommunications. After a thorough review of the basic theory of compressed sensing, many mathematical techniques are presented, including advanced signal modeling, Nyquist sub-sampling of analog signals, the non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/78/548/200/1785482009_b.jpg", "price_data" : { "retail_price" : "160.00", "online_price" : "160.00", "our_price" : "160.00", "club_price" : "160.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Compressed Sensing in Li-Fi and Wi-Fi Networks|Malek Benslama

Compressed Sensing in Li-Fi and Wi-Fi Networks

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Overview

Compressed Sensing in Li-Fi and Wi-Fi Networks features coverage of the first applications in optical telecommunications and wireless. After extensive development of basic theory, many techniques are presented, such as non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models. The book can be used as a comprehensive manual for teaching and research in courses covering advanced signal processing, efficient data processing algorithms, and telecommunications. After a thorough review of the basic theory of compressed sensing, many mathematical techniques are presented, including advanced signal modeling, Nyquist sub-sampling of analog signals, the non-asymptotic analysis of random matrices, adaptive detection, greedy algorithms, and the use of graphical models.

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Details

  • ISBN-13: 9781785482007
  • ISBN-10: 1785482009
  • Publisher: Iste Press - Elsevier
  • Publish Date: November 2017
  • Dimensions: 9.1 x 6.1 x 0.8 inches
  • Shipping Weight: 1.35 pounds
  • Page Count: 284

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