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Detection and estimation for communication and radar systems / Kung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan.

Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Yao, Kung, author.
Lorenzelli, Flavio, author.
Chen, Chiao-En, author.
Language:
English
Subjects (All):
Signal processing.
Signal detection.
Physical Description:
1 online resource (x, 322 pages) : digital, PDF file(s).
Edition:
1st ed.
Other Title:
Detection & estimation for communication & radar systems
Place of Publication:
Cambridge : Cambridge University Press, 2013.
Language Note:
English
Summary:
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.
Contents:
Machine generated contents note: 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.
Notes:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Includes bibliographical references and index.
ISBN:
1-107-23334-8
1-139-60976-9
1-139-01561-3
1-139-61162-3
1-139-62092-4
1-283-94804-4
1-139-62464-4
1-139-61534-3
1-139-60833-9
OCLC:
824118083

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