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{ "item_title" : "Detection and Estimation for Communication and Radar Systems", "item_author" : [" Kung Yao", "Flavio Lorenzelli", "Chiao-En Chen "], "item_description" : "Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/52/176/639/0521766397_b.jpg", "price_data" : { "retail_price" : "109.00", "online_price" : "109.00", "our_price" : "109.00", "club_price" : "109.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Detection and Estimation for Communication and Radar Systems|Kung Yao

Detection and Estimation for Communication and Radar Systems

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Overview

Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers.

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Details

  • ISBN-13: 9780521766395
  • ISBN-10: 0521766397
  • Publisher: Cambridge University Press
  • Publish Date: January 2013
  • Dimensions: 9.8 x 7 x 0.9 inches
  • Shipping Weight: 1.6 pounds
  • Page Count: 332

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