
Detection and Estimation for Communication and Radar Systems
Cambridge University Press
Published on 17. January 2013
Book
Hardback
332 pages
978-0-521-76639-5 (ISBN)
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.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 250 mm
Width: 175 mm
Thickness: 23 mm
Weight
760 gr
ISBN-13
978-0-521-76639-5 (9780521766395)
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Schweitzer Classification
Other editions
Additional editions

E-Book
01/2013
Cambridge University Press
€62.99
Available for download

Kung Yao | Flavio Lorenzelli | Chiao-En Chen
Detection and Estimation for Communication and Radar Systems
E-Book
01/2013
1st Edition
Cambridge University Press
€73.99
Available for download
Persons
Kung Yao is a Distinguished Professor in the Electrical Engineering Department at the University of California, Los Angeles. He received his BS (Highest Honors) and PhD from Princeton University. A Life Fellow of the IEEE, he has worked for or consulted for several leading companies, including AT&T Bell Laboratories, TRW, Hughes Aircraft Company and Raytheon. Flavio Lorenzelli received his PhD from the University of California, Los Angeles and for several years was with ST Microelectronics. The recipient of a Fulbright fellowship in 1989, he has been an engineer at The Aerospace Corporation since 2007 and is a Lecturer in the Electrical Engineering Department at UCLA. Chiao-En Chen is an Assistant Professor in both the Department of Electrical Engineering and the Department of Communications Engineering at National Chung Cheng University, Taiwan. He received his PhD from the University of California, Los Angeles in 2008.
Author
University of California, Los Angeles
The Aerospace Corporation, Los Angeles
National Chung-Cheng University, Taiwan
Content
1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design.