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Synopsis
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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Book Description
Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to design, implement and optimize real-world systems. 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.
About the Author
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.
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- PublisherCambridge University Press
- Publication date2013
- ISBN 10 0521766397
- ISBN 13 9780521766395
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages332
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Hardcover. Condition: new. Hardcover. 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. Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to design, implement and optimize real-world systems. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521766395
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