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Peyton Z. Peebles - Radar Principles - 9780471252054 - V9780471252054
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Radar Principles

€ 275.34
FREE Delivery in Ireland
Description for Radar Principles Hardcover. This book presents a comprehensive coverage and summary of the literature on radar. Peebles offers a more mathematical treatment and provides many problems that other books in the field don't. All engineers in the radar field must learn the basic radar principles on their own. Num Pages: 794 pages, bibliography. BIC Classification: TJKD; TTSX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 261 x 188 x 46. Weight in Grams: 1550.
A comprehensive introduction to radar principles

This volume fills a need in industry and universities for a comprehensive introductory text on radar principles. Well-organized and pedagogically driven, this book focuses on basic and optimum methods of realizing radar operations, covers modern applications, and provides a detailed, sophisticated mathematical treatment. Author Peyton Z. Peebles, Jr., draws on an extensive review of existing radar literature to present a selection of the most fundamental topics. He clearly explains general principles, such as wave propagation and signal theory, before advancing to more complex topics involving aspects of measurement and tracking. The ... Read more

Product Details

Format
Hardback
Publication date
1998
Publisher
John Wiley & Sons Inc United States
Number of pages
794
Condition
New
Number of Pages
794
Place of Publication
, United States
ISBN
9780471252054
SKU
V9780471252054
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Peyton Z. Peebles
PEYTON Z. PEEBLES, JR., is Professor Emeritus of Electrical and Computer Engineering at the University of Florida. His teaching, research, and industrial experience span three decades. Dr. Peebles has written more than fifty papers, mainly on radar-related topics, and a number of well-received textbooks, including Principles of Electrical Engineering; Digital Communication Systems; Probability, Random Variables, and Random Signal Principles; and ... Read more

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