Description |
x, 322 p. : ill. |
Bibliography |
Includes bibliographical references and index. |
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. |
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"-- Provided by publisher. |
Reproduction |
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. |
Subject |
Signal processing.
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Signal detection.
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Genre/Form |
Electronic books.
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Added Author |
Lorenzelli, Flavio.
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Chen, Chiao-En.
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ProQuest (Firm)
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ISBN |
9780521766395 (hardback) |
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9781139611626 (electronic bk.) |
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