A systematic guide to detection and estimation theory and their applications in the design, implementation and optimization of real-world systems.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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.
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.
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