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Detection and Estimation for Communication and Radar Systems
Yao, Kung
Lorenzelli, Flavio
Chen, Chiao-En
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. INDICE: 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.
- ISBN: 978-0-521-76639-5
- Editorial: Cambridge University Press
- Encuadernacion: Cartoné
- Páginas: 332
- Fecha Publicación: 17/01/2013
- Nº Volúmenes: 1
- Idioma: